R help - Aug 2016 - glm.fit: fitted probabilities numerically 0 or 1 occurred & glm.fit: algorithm did not converge

Hi Bert,

Does this text file help. Apologies if this does not help as i have a hard
time on many occasions to get a reproducible example.

If this doesn't work a CSV with only 100kb of data i can share.

Regards, Shivi

On Fri, Aug 12, 2016 at 8:50 PM, Shivi Bhatia <shivipmp82 at gmail.com>
wrote:
> Sure Burt, i will share the data after masking it.  it isn't big
>
> regards, Shivi
>
> On Fri, Aug 12, 2016 at 8:36 PM, Bert Gunter <bgunter.4567 at
gmail.com>
> wrote:
>
>> 1. No, changing to factor will make no difference.
>>
>> 2. I think that most likely your problem is your model is not
>> estimable/your design matrix is singular.  You should resolve this by
>> consulting with a local statistical expert or, if your data set is not
>> too large or confidential, posting your full dataset using dput() (see
>> ?dput for how to do this).
>>
>> Cheers,
>> Bert
>> Bert Gunter
>>
>> "The trouble with having an open mind is that people keep coming
along
>> and sticking things into it."
>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic
strip )
>>
>>
>> On Fri, Aug 12, 2016 at 7:58 AM, Shivi Bhatia <shivipmp82 at
gmail.com>
>> wrote:
>> > Hi Michael,
>> >
>> > There is no output as the model does not generate any coefficients
and
>> > simply throws this error.
>> >
>> > I hope you are not asking for a reproducible example.
>> >
>> > On Fri, Aug 12, 2016 at 7:30 PM, Michael Dewey <lists at
dewey.myzen.co.uk
>> >
>> > wrote:
>> >
>> >> Dear Shivi
>> >>
>> >> Can you show us the output?
>> >>
>> >> And please do not post in HTML as it will mangle your post
into
>> >> unreadability.
>> >>
>> >> On 12/08/2016 10:10, Shivi Bhatia wrote:
>> >>
>> >>> Hi Team,
>> >>>
>> >>> I am creating *my first* Logistic regression on R Studio.
I am
>> working on
>> >>> a
>> >>>
>> >>> C-SAT data where rating (score) 0-8 is a dis-sat whereas
9-10 are
>> SAT. As
>> >>> these were in numeric form so i had as below created 2
classes:
>> >>>
>> >>> new$survey[new$score>=0 & new$score<=8]<- 0
>> >>> new$survey[new$score>=9]<- 1
>> >>> This works fine however the class still shows as
"numeric" and levels
>> >>> shows
>> >>> as "NULL". Do i still need to use
"as.factor" to let R know these are
>> >>> categorical variables.
>> >>>
>> >>> Also i have used the below code to run a logistic
regression with all
>> the
>> >>> possible predictor variables:
>> >>> glm.fit= glm(survey ~ support_cat + region+ support_lvl+
skill_group+
>> >>> application_area+ functional_area+
>> >>>           repS+ case_age+ case_status+ severity_level+
>> >>>           sla_status+ delivery_segmentation, data = SFDC,
family >> >>> binomial)
>> >>>
>> >>> But it throws an error:-
>> >>> Warning messages:
>> >>> 1: glm.fit: algorithm did not converge
>> >>> 2: glm.fit: fitted probabilities numerically 0 or 1
occurred
>> >>>
>> >>> I checked online for the error and it says:
>> >>> "glm() uses an iterative re-weighted least squares
algorithm. The
>> >>> algorithm
>> >>> hit the maximum number of allowed iterations before
signalling
>> >>> convergence.
>> >>> The default,
>> >>> documented in ?glm.control is 25."
>> >>>
>> >>> Kindly suggest on the above case and if i have to change
my outcome
>> var as
>> >>> as.factor.
>> >>>
>> >>> Thank you, Shivi
>> >>>
>> >>>         [[alternative HTML version deleted]]
>> >>>
>> >>> ______________________________________________
>> >>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and
more, see
>> >>> https://stat.ethz.ch/mailman/listinfo/r-help
>> >>> PLEASE do read the posting guide
http://www.R-project.org/posti
>> >>> ng-guide.html
>> >>> and provide commented, minimal, self-contained,
reproducible code.
>> >>>
>> >>>
>> >> --
>> >> Michael
>> >> http://www.dewey.myzen.co.uk/home.html
>> >>
>> >
>> >         [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide http://www.R-project.org/posti
>> ng-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>>
>
>
-------------- next part --------------
structure(list(support_cat = structure(c(1L, 2L, 3L, 2L, 4L, 
5L, 5L, 3L, 5L, 2L, 3L, 6L, 5L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 
2L, 7L, 2L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 2L, 5L, 7L, 7L, 2L, 
2L, 2L, 4L, 2L, 2L, 7L, 7L, 2L, 2L, 8L, 9L, 5L, 2L, 2L, 5L, 4L, 
2L, 2L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 7L, 2L, 8L, 8L, 9L, 
9L, 5L, 9L, 5L, 4L, 5L, 5L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 2L, 2L, 
7L, 2L, 2L, 10L, 7L, 5L, 7L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 9L, 
5L, 7L, 2L, 2L, 2L, 5L, 7L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 2L, 
7L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 9L, 5L, 
2L, 5L, 5L, 2L, 7L, 5L, 2L, 4L, 2L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 9L, 2L, 8L, 8L, 8L, 8L, 5L, 9L, 5L, 5L, 2L, 5L, 2L, 2L, 
7L, 2L, 2L, 4L, 5L, 2L, 2L, 2L, 2L, 10L, 5L, 7L, 2L, 1L, 2L, 
9L, 8L, 9L, 9L, 2L, 9L, 9L, 7L, 5L, 5L, 9L, 5L, 7L, 2L, 7L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 7L, 2L, 3L, 9L, 5L, 8L, 2L, 
2L, 11L, 3L, 5L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 9L, 2L, 9L, 3L, 
8L, 8L, 2L, 2L, 2L, 5L, 5L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 4L, 2L, 2L, 7L, 2L, 2L, 3L, 7L, 2L, 3L, 9L, 3L, 3L, 
9L, 7L, 2L, 3L, 2L, 2L, 5L, 5L, 2L, 7L, 2L, 5L, 2L, 2L, 2L, 5L, 
2L, 6L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 2L, 5L, 
2L, 2L, 2L, 2L, 9L, 3L, 7L, 10L, 2L, 10L, 9L, 7L, 2L, 9L, 5L, 
2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 
2L, 4L, 2L, 2L, 3L, 5L, 2L, 3L, 9L, 8L, 2L, 9L, 7L, 12L, 5L, 
5L, 7L, 7L, 5L, 10L, 2L, 7L, 2L, 2L, 7L, 7L, 2L, 2L, 2L, 2L, 
2L, 7L, 1L, 2L, 2L, 9L, 2L, 9L, 9L, 7L, 9L, 7L, 8L, 2L, 5L, 8L, 
2L, 5L, 5L, 5L, 5L, 2L, 5L, 2L, 7L, 2L, 2L, 5L, 7L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 9L, 8L, 2L, 2L, 10L, 8L, 5L, 7L, 2L, 
5L, 5L, 10L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 
10L, 2L, 10L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 5L, 5L, 2L, 2L, 5L, 
2L, 2L, 2L, 7L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 13L, 10L, 7L, 
2L, 2L, 2L, 2L, 3L, 2L, 7L, 9L, 9L, 9L, 5L, 9L, 10L, 1L, 5L, 
2L, 5L, 2L, 5L, 13L, 7L, 2L, 2L, 2L, 7L, 2L, 2L, 2L, 7L, 2L, 
2L, 2L, 1L, 9L, 9L, 9L, 9L, 9L, 8L, 8L, 5L, 3L, 2L, 2L, 2L, 4L, 
2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 3L, 
5L, 7L, 2L, 3L, 3L, 5L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 2L, 
3L, 8L, 5L, 5L, 5L, 2L, 5L, 2L, 3L, 9L, 2L, 2L, 7L, 3L, 1L, 9L, 
9L, 7L, 2L, 3L, 5L, 2L, 2L, 3L, 5L, 2L, 5L, 5L, 5L, 5L, 2L, 2L, 
5L, 5L, 2L, 6L, 1L, 6L, 5L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 5L, 10L, 5L, 7L, 11L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 5L, 
9L, 2L, 2L, 7L, 5L, 2L, 11L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 9L, 
2L, 6L, 8L, 8L, 9L, 2L, 8L, 8L, 6L, 5L, 7L, 5L, 5L, 5L, 2L, 2L, 
5L, 5L, 2L, 2L, 2L, 14L, 7L, 2L, 2L, 7L, 2L, 2L, 9L, 3L, 9L, 
9L, 5L, 5L, 5L, 5L, 2L, 7L, 5L, 12L, 2L, 2L, 2L, 2L, 5L, 5L, 
2L, 9L, 9L, 8L, 2L, 5L, 5L, 9L, 2L, 7L, 5L, 2L, 10L, 2L, 5L, 
2L, 2L, 2L, 10L, 2L, 2L, 2L, 7L, 9L, 3L, 3L, 3L, 5L, 2L, 7L, 
7L, 5L, 5L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 2L, 5L, 2L, 2L, 
7L, 3L, 2L, 3L, 9L, 3L, 9L, 9L, 9L, 9L, 9L, 2L, 2L, 2L, 7L, 2L, 
9L, 9L, 9L, 5L, 9L, 5L, 2L, 2L, 2L, 7L, 2L, 2L, 2L, 2L, 9L, 2L, 
2L, 10L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 1L, 8L, 
9L, 2L, 2L, 7L, 7L, 3L, 2L, 2L, 4L, 5L, 2L, 5L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 7L, 2L, 2L, 2L, 3L, 7L, 2L, 7L, 2L, 9L, 2L, 3L, 9L, 
2L, 8L, 8L, 9L, 5L, 5L, 5L, 2L, 5L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 3L, 
10L, 9L, 8L, 9L, 9L, 4L, 3L, 9L, 9L, 2L, 7L, 2L, 2L, 2L, 5L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 3L, 3L, 5L, 5L, 9L, 4L, 1L, 4L, 5L, 2L, 2L, 2L, 
2L, 2L, 5L, 2L, 2L, 2L, 2L, 4L, 2L, 9L, 9L, 9L, 5L, 9L, 2L, 9L, 
10L, 2L, 5L, 5L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 
7L, 9L, 9L, 3L, 3L, 3L, 2L, 9L, 2L, 9L, 5L, 5L, 4L, 2L, 2L, 2L, 
2L, 10L, 5L, 2L, 2L, 2L, 7L, 2L, 2L, 2L, 2L, 14L, 2L, 2L, 2L, 
2L, 2L, 10L, 2L, 10L, 2L, 9L, 9L, 3L, 5L, 2L, 2L, 2L, 2L, 2L, 
2L, 5L, 2L, 5L, 5L, 2L, 2L, 2L, 5L, 2L, 2L, 7L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 3L, 3L, 3L, 4L, 5L, 3L, 7L, 2L, 2L, 2L, 2L, 5L, 2L, 
2L, 2L, 10L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
3L, 3L, 9L, 3L, 9L, 3L, 8L, 8L, 3L, 9L, 5L, 2L, 2L, 2L, 2L, 5L, 
2L, 2L, 2L, 7L, 2L, 10L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 3L, 3L, 
2L, 14L, 4L, 5L, 2L, 2L, 2L, 7L, 7L, 4L, 2L, 2L, 2L, 2L, 7L, 
2L, 7L, 2L, 2L, 2L, 2L, 2L, 7L, 10L, 5L, 2L, 4L, 5L, 2L, 2L, 
2L, 2L, 9L, 10L, 5L, 5L, 8L, 3L, 5L, 5L, 5L, 2L, 2L, 2L, 7L, 
7L, 7L, 2L, 5L, 2L, 2L, 2L, 4L, 2L, 2L, 9L, 10L, 2L, 2L, 10L, 
10L, 1L, 2L, 2L, 4L, 5L, 2L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
10L, 7L, 15L, 5L, 9L, 5L, 2L, 2L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 10L, 1L, 2L, 7L, 2L, 
3L, 2L, 2L, 5L, 2L, 4L, 2L, 2L, 2L, 3L, 3L, 5L, 8L, 5L, 5L, 2L, 
2L, 5L, 5L, 2L, 2L, 2L, 2L, 14L, 4L, 7L, 2L, 2L, 2L, 2L, 2L, 
2L, 3L, 3L, 3L, 2L, 2L, 9L, 9L, 2L, 9L, 7L, 2L, 5L, 7L, 5L, 5L, 
9L, 10L, 5L, 2L, 2L, 7L, 5L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 
3L, 3L, 2L, 8L, 2L, 2L, 2L, 2L, 5L, 2L, 5L, 5L, 5L, 7L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 16L, 3L, 8L, 
9L, 2L, 2L, 4L, 8L, 2L, 5L, 3L, 2L, 2L, 9L, 5L, 5L, 4L, 5L, 2L, 
5L, 6L, 5L, 7L, 2L, 3L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 
4L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 7L, 7L, 1L, 7L, 1L, 3L, 2L, 3L, 
2L, 2L, 7L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
7L, 2L, 2L, 4L, 2L, 3L, 2L, 5L, 2L, 2L, 7L, 2L, 5L, 2L, 2L, 2L, 
5L, 10L, 2L, 2L, 2L, 2L, 7L, 2L, 2L, 16L, 2L, 2L, 3L, 2L, 2L, 
5L, 2L, 10L, 10L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 7L, 2L, 3L, 
2L, 16L, 3L, 9L, 9L, 7L, 8L, 2L, 5L, 5L, 7L, 2L, 7L, 2L, 5L, 
2L, 5L, 7L, 2L, 2L, 2L, 7L, 2L, 2L, 7L, 7L, 2L, 2L, 8L, 8L, 5L, 
7L, 2L, 7L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 10L, 2L, 2L, 9L, 8L, 
9L, 3L, 7L, 2L, 7L, 5L, 5L, 2L, 5L, 2L, 2L, 10L, 2L, 2L, 4L, 
2L, 2L, 7L, 2L, 2L, 2L, 2L, 7L, 2L, 2L, 1L, 3L, 2L, 2L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 3L, 5L, 5L, 5L, 2L, 8L, 3L, 5L, 5L, 2L, 2L, 
5L, 2L, 4L, 2L, 2L, 7L, 2L, 3L, 2L, 5L, 2L, 5L, 7L, 2L, 4L, 2L, 
5L, 2L, 11L, 2L, 3L, 7L, 2L, 2L, 2L, 2L, 3L, 2L, 9L, 9L, 9L, 
4L, 3L, 2L, 9L, 2L, 9L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 9L, 9L, 3L, 
3L, 9L, 3L, 5L, 8L, 2L, 5L, 2L, 7L, 7L, 7L, 2L, 2L, 2L, 2L, 2L, 
2L, 10L, 2L, 10L, 2L, 7L, 2L, 2L, 9L, 2L, 2L, 3L, 7L, 9L, 7L, 
2L, 3L, 9L, 5L, 7L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 7L, 2L, 2L, 
2L, 7L, 5L, 14L, 2L, 2L, 10L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 11L, 
2L, 2L, 2L, 2L, 2L, 9L, 2L, 2L, 4L, 9L, 3L, 8L, 5L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 3L, 9L, 5L, 5L, 5L, 10L, 5L, 2L, 1L, 5L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 7L, 5L, 5L, 
5L, 2L, 2L, 2L, 2L, 14L, 6L, 4L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 
2L, 2L, 5L, 3L, 3L, 2L, 2L, 5L, 5L, 5L, 5L, 3L, 10L, 2L, 5L, 
5L, 5L, 2L, 2L, 6L, 5L, 2L, 2L, 2L, 16L, 2L, 2L, 2L, 2L, 2L, 
4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 10L, 
5L, 5L, 2L, 2L, 3L, 2L, 5L, 2L, 5L, 5L, 2L, 2L, 7L, 2L, 5L, 2L, 
2L, 2L, 4L, 2L, 2L, 2L, 2L, 7L, 2L, 2L, 2L, 7L, 9L, 1L, 3L, 9L, 
9L, 9L, 9L, 9L, 2L, 10L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
4L, 16L, 2L, 3L, 3L, 2L, 9L, 2L, 9L, 2L, 3L, 9L, 5L, 5L, 5L, 
2L, 5L, 5L, 2L, 5L, 2L, 2L, 4L, 10L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 9L, 9L, 9L, 10L, 9L, 7L, 5L, 2L, 5L, 5L, 5L, 5L, 7L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
5L, 9L, 2L, 1L, 3L, 2L, 2L, 2L, 5L, 5L, 9L, 5L, 3L, 10L, 2L, 
3L, 2L, 2L, 7L, 6L, 5L, 7L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 
2L, 9L, 2L, 9L, 5L, 10L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 9L, 2L, 3L, 2L, 2L, 9L, 5L, 5L, 5L, 5L, 3L, 3L, 2L, 
2L, 5L, 2L, 2L, 2L, 2L, 2L, 10L, 2L, 7L, 2L, 2L, 2L, 2L, 2L, 
2L, 9L, 9L, 2L, 3L, 9L, 3L, 2L, 5L, 5L, 7L, 5L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 14L, 2L, 2L, 2L, 16L, 2L, 5L, 2L, 5L, 2L, 
2L, 5L, 10L, 5L, 5L, 2L, 5L, 4L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 
2L, 1L, 10L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 10L, 2L, 4L, 
3L, 5L, 2L, 9L, 2L, 9L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 7L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 7L, 2L, 2L, 7L, 
9L, 2L, 2L, 2L, 5L, 5L, 5L, 2L, 2L, 2L, 8L, 3L, 3L, 7L, 8L, 2L, 
9L, 10L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 3L, 2L, 2L, 7L, 9L, 3L, 3L, 
5L, 5L, 5L, 5L, 5L, 2L), .Label = c("a", "b", "c",
"d", "e",
"f", "g", "h", "i", "j",
"k", "l", "m", "n", "o",
"p", "q"), class = "factor"),
    region = structure(c(1L, 2L, 3L, 2L, 2L, 4L, 4L, 3L, 4L, 
    2L, 3L, 4L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 
    1L, 2L, 2L, 1L, 1L, 2L, 2L, 5L, 5L, 4L, 2L, 2L, 4L, 1L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 5L, 
    5L, 4L, 5L, 4L, 4L, 4L, 4L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 
    2L, 1L, 2L, 2L, 1L, 1L, 4L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 
    5L, 4L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 
    2L, 5L, 4L, 2L, 4L, 4L, 2L, 1L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 5L, 2L, 5L, 5L, 5L, 5L, 4L, 5L, 4L, 
    4L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 
    4L, 1L, 2L, 1L, 2L, 5L, 5L, 5L, 5L, 2L, 5L, 5L, 1L, 4L, 4L, 
    5L, 4L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 
    1L, 2L, 3L, 5L, 4L, 5L, 2L, 2L, 1L, 3L, 4L, 2L, 1L, 2L, 2L, 
    2L, 2L, 2L, 5L, 2L, 5L, 3L, 5L, 5L, 2L, 2L, 2L, 4L, 4L, 2L, 
    2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 3L, 2L, 2L, 3L, 5L, 3L, 3L, 5L, 4L, 2L, 3L, 2L, 2L, 
    4L, 4L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 4L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 
    5L, 3L, 1L, 1L, 2L, 1L, 5L, 2L, 2L, 5L, 4L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 1L, 2L, 
    2L, 3L, 4L, 2L, 3L, 5L, 5L, 2L, 5L, 2L, 4L, 4L, 4L, 1L, 1L, 
    4L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    2L, 2L, 5L, 2L, 5L, 5L, 2L, 5L, 2L, 5L, 2L, 4L, 5L, 2L, 4L, 
    4L, 4L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 5L, 5L, 2L, 2L, 1L, 5L, 4L, 2L, 2L, 4L, 
    4L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 
    2L, 1L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 4L, 4L, 2L, 2L, 4L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 3L, 2L, 1L, 5L, 5L, 5L, 4L, 5L, 1L, 1L, 4L, 2L, 
    4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 3L, 2L, 2L, 2L, 1L, 
    2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 
    3L, 4L, 1L, 2L, 3L, 3L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    3L, 2L, 3L, 5L, 4L, 4L, 4L, 2L, 4L, 2L, 3L, 5L, 2L, 2L, 2L, 
    3L, 1L, 5L, 5L, 1L, 2L, 3L, 4L, 2L, 2L, 3L, 4L, 2L, 4L, 4L, 
    4L, 4L, 2L, 2L, 4L, 4L, 2L, 4L, 1L, 4L, 4L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 
    4L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 
    3L, 3L, 3L, 3L, 2L, 4L, 5L, 2L, 2L, 1L, 4L, 2L, 1L, 4L, 2L, 
    2L, 2L, 2L, 2L, 2L, 5L, 2L, 1L, 5L, 5L, 5L, 2L, 5L, 5L, 1L, 
    4L, 1L, 4L, 4L, 4L, 2L, 2L, 4L, 4L, 2L, 2L, 2L, 6L, 1L, 2L, 
    2L, 1L, 2L, 2L, 5L, 3L, 5L, 5L, 4L, 4L, 4L, 4L, 2L, 1L, 4L, 
    1L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 5L, 5L, 5L, 2L, 4L, 4L, 5L, 
    2L, 1L, 4L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
    5L, 3L, 3L, 3L, 4L, 2L, 1L, 1L, 4L, 1L, 4L, 4L, 2L, 2L, 2L, 
    2L, 2L, 3L, 1L, 2L, 4L, 2L, 2L, 1L, 3L, 2L, 3L, 5L, 3L, 5L, 
    5L, 5L, 5L, 5L, 2L, 2L, 2L, 1L, 2L, 5L, 5L, 5L, 4L, 5L, 1L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 5L, 5L, 2L, 2L, 2L, 1L, 
    3L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
    2L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 5L, 2L, 3L, 5L, 2L, 5L, 5L, 
    5L, 4L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 3L, 1L, 
    5L, 5L, 5L, 5L, 1L, 3L, 5L, 5L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 4L, 1L, 1L, 4L, 2L, 2L, 
    2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 1L, 2L, 5L, 5L, 5L, 4L, 5L, 
    2L, 5L, 1L, 2L, 4L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 1L, 5L, 5L, 3L, 3L, 3L, 2L, 5L, 2L, 5L, 4L, 4L, 1L, 
    2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 5L, 5L, 3L, 4L, 2L, 2L, 
    2L, 2L, 2L, 2L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 3L, 1L, 2L, 
    2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 3L, 3L, 5L, 3L, 5L, 3L, 5L, 5L, 3L, 5L, 
    4L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 4L, 3L, 3L, 3L, 2L, 6L, 1L, 4L, 2L, 2L, 2L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    4L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 5L, 1L, 4L, 4L, 5L, 3L, 4L, 
    4L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 
    2L, 5L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 7L, 4L, 5L, 4L, 2L, 2L, 4L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 4L, 2L, 4L, 2L, 2L, 2L, 
    3L, 3L, 4L, 5L, 4L, 4L, 2L, 2L, 4L, 4L, 2L, 2L, 2L, 2L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 5L, 5L, 
    2L, 5L, 1L, 2L, 4L, 4L, 4L, 4L, 5L, 1L, 4L, 2L, 2L, 1L, 4L, 
    2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 5L, 2L, 2L, 2L, 
    2L, 1L, 2L, 4L, 4L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 1L, 2L, 1L, 3L, 5L, 5L, 2L, 2L, 2L, 5L, 2L, 
    4L, 3L, 2L, 2L, 5L, 4L, 4L, 1L, 4L, 2L, 4L, 4L, 4L, 1L, 2L, 
    3L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 2L, 3L, 2L, 2L, 1L, 
    4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 3L, 2L, 4L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 4L, 
    1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 
    2L, 4L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 
    1L, 3L, 5L, 5L, 1L, 5L, 2L, 4L, 4L, 1L, 2L, 1L, 2L, 4L, 2L, 
    4L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 5L, 5L, 4L, 
    1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 5L, 5L, 
    5L, 3L, 1L, 2L, 1L, 4L, 4L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 1L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 2L, 2L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 3L, 1L, 4L, 4L, 2L, 5L, 3L, 4L, 4L, 
    2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 4L, 2L, 4L, 1L, 
    2L, 1L, 2L, 4L, 2L, 1L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 
    5L, 5L, 5L, 1L, 3L, 2L, 5L, 2L, 5L, 4L, 4L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 5L, 5L, 3L, 3L, 5L, 3L, 4L, 5L, 2L, 4L, 2L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 5L, 
    2L, 2L, 3L, 1L, 5L, 1L, 2L, 3L, 5L, 4L, 1L, 2L, 2L, 4L, 2L, 
    2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 4L, 6L, 2L, 2L, 1L, 4L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 
    1L, 5L, 3L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 
    5L, 4L, 4L, 4L, 4L, 4L, 2L, 1L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 2L, 4L, 1L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 
    6L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 4L, 3L, 3L, 
    2L, 2L, 4L, 4L, 4L, 4L, 3L, 1L, 2L, 4L, 4L, 4L, 2L, 2L, 1L, 
    4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 4L, 4L, 2L, 2L, 3L, 
    2L, 4L, 2L, 4L, 4L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 5L, 1L, 3L, 5L, 5L, 5L, 5L, 
    5L, 2L, 1L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
    3L, 3L, 2L, 5L, 2L, 5L, 2L, 3L, 5L, 4L, 4L, 1L, 2L, 4L, 4L, 
    2L, 4L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 
    5L, 1L, 5L, 1L, 4L, 2L, 4L, 4L, 4L, 4L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 4L, 5L, 
    2L, 1L, 3L, 2L, 2L, 2L, 4L, 4L, 5L, 4L, 3L, 4L, 2L, 3L, 2L, 
    2L, 1L, 4L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    5L, 2L, 5L, 4L, 1L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 5L, 2L, 3L, 2L, 2L, 5L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 
    2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
    2L, 5L, 5L, 2L, 3L, 5L, 3L, 2L, 4L, 4L, 1L, 4L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 
    2L, 2L, 4L, 1L, 4L, 4L, 2L, 4L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
    1L, 3L, 4L, 2L, 5L, 2L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 5L, 2L, 2L, 2L, 4L, 4L, 4L, 2L, 2L, 2L, 5L, 3L, 
    3L, 2L, 5L, 2L, 5L, 1L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 4L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 
    2L, 2L, 5L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 2L), .Label = c("a", 
    "b", "c", "d", "e", "f",
"g"), class = "factor"), support_lvl = structure(c(2L,
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L), .Label = c("basc12", "basic1",
"Other"), class = "factor"),
    skill_group = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 
    2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("one",
    "two"), class = "factor"), application_area =
structure(c(1L,
    10L, 1L, 7L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 3L, 1L, 7L, 1L, 
    1L, 3L, 3L, 1L, 2L, 15L, 3L, 3L, 7L, 1L, 1L, 3L, 1L, 1L, 
    1L, 7L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 14L, 
    1L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 5L, 
    9L, 3L, 3L, 3L, 9L, 2L, 7L, 3L, 1L, 1L, 1L, 13L, 3L, 3L, 
    1L, 1L, 2L, 1L, 1L, 1L, 5L, 1L, 1L, 3L, 3L, 1L, 1L, 9L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 9L, 1L, 1L, 1L, 3L, 
    2L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 
    1L, 1L, 3L, 3L, 2L, 2L, 1L, 15L, 2L, 1L, 3L, 7L, 1L, 3L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 
    1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 3L, 13L, 3L, 1L, 2L, 7L, 
    3L, 2L, 1L, 1L, 1L, 1L, 11L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 
    2L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 15L, 1L, 1L, 1L, 1L, 3L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 10L, 3L, 1L, 1L, 1L, 1L, 3L, 
    1L, 3L, 1L, 2L, 1L, 2L, 1L, 7L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 
    2L, 7L, 2L, 1L, 3L, 2L, 3L, 9L, 1L, 7L, 1L, 3L, 1L, 1L, 12L, 
    2L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 12L, 1L, 13L, 3L, 1L, 2L, 
    3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 12L, 
    3L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 3L, 1L, 9L, 9L, 1L, 1L, 1L, 
    1L, 2L, 5L, 2L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 2L, 5L, 10L, 
    1L, 1L, 1L, 2L, 1L, 1L, 5L, 1L, 2L, 1L, 3L, 1L, 3L, 3L, 1L, 
    7L, 3L, 9L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 3L, 1L, 
    7L, 1L, 3L, 3L, 3L, 1L, 12L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
    1L, 1L, 3L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 15L, 12L, 
    3L, 3L, 1L, 3L, 1L, 12L, 1L, 7L, 3L, 1L, 1L, 1L, 3L, 1L, 
    2L, 1L, 1L, 1L, 7L, 2L, 2L, 3L, 1L, 3L, 1L, 14L, 1L, 9L, 
    9L, 1L, 1L, 1L, 2L, 9L, 2L, 7L, 9L, 2L, 2L, 3L, 3L, 1L, 15L, 
    2L, 1L, 3L, 1L, 1L, 1L, 13L, 3L, 1L, 2L, 2L, 2L, 15L, 7L, 
    1L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 
    1L, 2L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 3L, 2L, 15L, 7L, 2L, 
    2L, 3L, 2L, 1L, 15L, 6L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 
    3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 16L, 
    3L, 1L, 1L, 15L, 2L, 1L, 12L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 3L, 2L, 1L, 1L, 
    1L, 9L, 3L, 3L, 1L, 1L, 1L, 2L, 7L, 2L, 2L, 3L, 1L, 1L, 9L, 
    3L, 1L, 2L, 2L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 13L, 1L, 1L, 
    5L, 5L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 
    1L, 1L, 3L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 
    2L, 3L, 1L, 9L, 1L, 1L, 2L, 3L, 11L, 1L, 2L, 3L, 3L, 9L, 
    2L, 3L, 3L, 1L, 5L, 1L, 1L, 9L, 3L, 2L, 1L, 3L, 7L, 7L, 2L, 
    1L, 1L, 2L, 3L, 3L, 9L, 10L, 1L, 9L, 3L, 1L, 10L, 1L, 15L, 
    3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 2L, 13L, 
    1L, 1L, 1L, 3L, 1L, 7L, 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 
    3L, 3L, 1L, 14L, 1L, 3L, 2L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 
    1L, 7L, 1L, 1L, 1L, 5L, 1L, 2L, 1L, 1L, 14L, 9L, 15L, 1L, 
    3L, 1L, 2L, 3L, 12L, 2L, 1L, 2L, 2L, 2L, 2L, 7L, 1L, 3L, 
    1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 14L, 3L, 1L, 1L, 3L, 1L, 
    9L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 2L, 
    1L, 3L, 9L, 1L, 1L, 15L, 11L, 1L, 1L, 1L, 1L, 5L, 5L, 3L, 
    1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 9L, 1L, 2L, 9L, 9L, 2L, 1L, 9L, 1L, 3L, 1L, 1L, 
    1L, 2L, 2L, 1L, 2L, 5L, 1L, 1L, 3L, 1L, 3L, 14L, 7L, 1L, 
    1L, 1L, 1L, 3L, 2L, 3L, 7L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    3L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 1L, 1L, 2L, 7L, 7L, 
    1L, 2L, 3L, 3L, 9L, 1L, 1L, 10L, 1L, 1L, 1L, 2L, 1L, 3L, 
    12L, 3L, 1L, 1L, 1L, 3L, 3L, 9L, 2L, 13L, 1L, 7L, 1L, 3L, 
    15L, 3L, 1L, 12L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 
    2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 7L, 1L, 1L, 3L, 2L, 2L, 3L, 
    1L, 1L, 1L, 1L, 1L, 5L, 2L, 2L, 5L, 2L, 2L, 13L, 1L, 2L, 
    1L, 1L, 2L, 1L, 1L, 15L, 3L, 1L, 1L, 1L, 2L, 1L, 5L, 9L, 
    2L, 12L, 3L, 1L, 1L, 2L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 15L, 3L, 9L, 1L, 3L, 1L, 3L, 1L, 2L, 13L, 13L, 1L, 
    1L, 2L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 3L, 9L, 3L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 5L, 1L, 2L, 
    1L, 3L, 1L, 15L, 1L, 2L, 3L, 12L, 1L, 1L, 2L, 3L, 9L, 1L, 
    1L, 3L, 1L, 13L, 1L, 3L, 2L, 3L, 1L, 9L, 3L, 7L, 3L, 2L, 
    1L, 2L, 1L, 1L, 1L, 13L, 1L, 2L, 1L, 2L, 1L, 13L, 1L, 15L, 
    1L, 9L, 1L, 2L, 1L, 12L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 
    1L, 2L, 3L, 1L, 2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 9L, 7L, 
    1L, 1L, 1L, 3L, 2L, 9L, 3L, 5L, 2L, 7L, 1L, 3L, 2L, 1L, 3L, 
    3L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 
    9L, 2L, 2L, 3L, 1L, 3L, 13L, 15L, 1L, 9L, 1L, 1L, 7L, 1L, 
    1L, 3L, 1L, 3L, 3L, 15L, 15L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 7L, 1L, 12L, 1L, 1L, 2L, 9L, 1L, 2L, 1L, 1L, 1L, 9L, 
    2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 3L, 2L, 7L, 
    1L, 2L, 2L, 1L, 1L, 2L, 3L, 9L, 1L, 2L, 3L, 12L, 1L, 1L, 
    1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 13L, 1L, 3L, 3L, 1L, 
    15L, 1L, 2L, 2L, 9L, 13L, 1L, 1L, 2L, 1L, 12L, 3L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 3L, 9L, 1L, 3L, 7L, 3L, 2L, 1L, 1L, 3L, 
    3L, 3L, 15L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 
    3L, 9L, 2L, 1L, 1L, 1L, 2L, 7L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 
    3L, 12L, 9L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 9L, 3L, 1L, 1L, 
    1L, 1L, 1L, 12L, 3L, 1L, 1L, 7L, 3L, 1L, 3L, 1L, 3L, 3L, 
    3L, 1L, 1L, 9L, 5L, 2L, 2L, 1L, 15L, 5L, 15L, 1L, 1L, 2L, 
    3L, 2L, 7L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 7L, 1L, 1L, 2L, 
    2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 9L, 
    2L, 1L, 3L, 3L, 1L, 15L, 13L, 2L, 1L, 1L, 1L, 3L, 1L, 3L, 
    2L, 9L, 2L, 1L, 1L, 2L, 1L, 5L, 1L, 13L, 2L, 5L, 2L, 9L, 
    1L, 1L, 2L, 1L, 3L, 12L, 7L, 3L, 1L, 1L, 2L, 7L, 1L, 1L, 
    7L, 7L, 2L, 1L, 15L, 1L, 3L, 1L, 3L, 1L, 1L, 9L, 12L, 1L, 
    3L, 1L, 2L, 7L, 2L, 3L, 1L, 9L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 
    2L, 1L, 1L, 5L, 1L, 1L, 3L, 15L, 5L, 1L, 1L, 1L, 1L, 1L, 
    5L, 2L, 1L, 13L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 9L, 1L, 1L, 
    13L, 3L, 12L, 2L, 1L, 15L, 1L, 3L, 2L, 16L, 1L, 3L, 1L, 1L, 
    15L, 1L, 1L, 7L, 3L, 2L, 2L, 2L, 7L, 2L, 1L, 1L, 9L, 3L, 
    1L, 15L, 7L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 13L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 5L, 1L, 1L, 2L, 1L, 
    1L, 3L, 1L, 2L, 3L, 3L, 9L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 
    1L, 2L, 7L, 2L, 1L, 1L, 2L, 2L, 1L, 13L, 3L, 11L, 1L, 1L, 
    1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 3L, 13L, 2L, 1L, 
    2L, 1L, 2L, 1L, 14L, 2L, 9L, 2L, 2L, 7L, 1L, 3L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 13L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    12L, 3L, 2L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 7L, 3L, 2L, 2L, 
    1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 3L, 15L, 1L, 1L, 2L, 7L, 
    2L, 2L, 3L, 12L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 3L, 1L, 
    7L, 1L, 3L, 1L, 3L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 1L, 
    1L, 9L, 9L, 1L, 1L, 3L, 10L, 2L, 2L, 1L, 3L, 1L, 1L, 12L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 1L, 
    3L, 1L, 1L, 3L, 2L, 1L, 3L, 3L, 1L, 2L, 3L, 2L, 1L, 7L, 2L, 
    2L, 1L, 1L, 1L, 2L, 5L, 3L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 
    3L, 2L, 2L, 2L, 3L, 1L, 3L, 13L, 3L, 1L, 1L, 1L, 3L, 2L, 
    3L, 15L, 9L, 5L, 1L, 1L, 1L, 7L, 3L, 3L, 2L, 15L, 1L, 1L, 
    3L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 9L, 1L, 2L, 1L, 13L, 
    2L, 5L, 3L, 1L, 12L, 3L, 7L, 2L, 3L, 11L, 2L, 3L, 2L, 2L, 
    1L, 2L, 1L, 3L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 2L, 3L, 1L, 9L, 9L, 1L, 7L, 2L, 3L, 7L, 3L, 
    1L, 3L, 2L, 1L, 1L, 5L, 15L, 2L, 1L, 2L, 1L, 3L, 3L, 2L, 
    2L, 7L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 15L, 1L, 1L, 
    3L, 12L, 1L, 2L, 3L, 3L, 1L, 9L, 1L, 1L, 2L, 3L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 9L, 1L, 2L, 3L, 15L, 2L, 
    1L, 2L, 1L, 1L, 7L, 1L, 3L, 7L, 1L, 1L, 3L, 1L, 3L, 7L, 1L, 
    1L, 7L, 2L, 3L, 11L, 3L, 3L, 5L, 1L, 5L, 1L, 2L, 3L, 4L, 
    1L, 3L, 2L, 9L, 1L, 9L, 7L, 13L, 3L, 1L, 1L, 3L, 1L, 1L, 
    12L, 2L, 13L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 3L, 1L, 2L, 1L, 
    1L, 9L, 1L, 1L, 3L, 1L, 7L, 2L, 1L, 1L, 2L, 11L, 1L, 1L, 
    1L, 1L, 3L, 1L, 2L, 2L, 2L, 1L, 3L, 2L, 2L, 7L, 1L, 14L, 
    1L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 1L, 3L, 1L, 2L, 10L, 
    2L, 3L, 2L, 12L, 1L, 1L, 1L, 3L, 3L, 12L, 1L, 2L, 2L, 2L, 
    13L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 2L, 
    2L, 1L, 1L, 3L, 2L, 12L, 1L, 1L, 3L, 2L, 3L, 14L, 1L, 1L, 
    3L, 7L, 1L, 13L, 3L, 1L, 2L, 2L, 13L, 5L, 3L, 1L, 3L, 2L, 
    2L, 3L, 3L, 2L, 2L, 9L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 7L, 1L, 
    3L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 3L, 1L, 2L, 15L, 
    2L, 7L, 15L, 1L, 2L, 1L, 1L, 1L, 9L, 1L, 1L, 2L, 2L, 2L, 
    2L, 2L, 13L, 2L, 10L, 2L, 5L, 3L, 1L, 1L, 5L, 2L, 2L, 2L, 
    2L, 9L, 1L, 3L, 1L, 2L, 13L, 1L, 15L, 1L, 15L, 1L, 15L, 1L, 
    1L, 2L, 1L, 3L, 1L, 13L, 16L, 1L, 2L, 1L, 3L, 1L, 3L, 2L, 
    3L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 15L, 1L, 2L, 1L, 2L, 2L, 
    1L, 1L, 1L, 2L), .Label = c("a", "b", "c",
"d", "e", "f",
    "g", "h", "i", "j", "k",
"l", "m", "n", "o", "p"),
class = "factor"),
    functional_area = structure(c(5L, 38L, 23L, 28L, 23L, 59L, 
    23L, 17L, 1L, 10L, 17L, 51L, 23L, 28L, 23L, 5L, 8L, 8L, 23L, 
    5L, 61L, 30L, 2L, 22L, 23L, 23L, 45L, 5L, 23L, 23L, 28L, 
    23L, 23L, 5L, 23L, 23L, 23L, 23L, 23L, 1L, 23L, 23L, 23L, 
    1L, 23L, 17L, 7L, 7L, 23L, 23L, 17L, 17L, 16L, 59L, 23L, 
    1L, 23L, 23L, 50L, 19L, 21L, 41L, 21L, 19L, 17L, 28L, 45L, 
    61L, 23L, 5L, 22L, 52L, 12L, 23L, 23L, 17L, 61L, 23L, 23L, 
    64L, 23L, 5L, 16L, 8L, 23L, 23L, 19L, 5L, 17L, 23L, 23L, 
    23L, 17L, 23L, 7L, 23L, 43L, 17L, 19L, 23L, 23L, 1L, 51L, 
    17L, 23L, 42L, 23L, 17L, 23L, 23L, 9L, 23L, 17L, 51L, 23L, 
    23L, 51L, 23L, 23L, 23L, 21L, 57L, 5L, 17L, 23L, 63L, 9L, 
    23L, 8L, 22L, 1L, 7L, 5L, 23L, 23L, 5L, 23L, 9L, 61L, 5L, 
    23L, 23L, 23L, 51L, 17L, 61L, 8L, 23L, 23L, 23L, 23L, 17L, 
    61L, 8L, 43L, 8L, 36L, 7L, 1L, 17L, 28L, 35L, 17L, 23L, 23L, 
    5L, 23L, 60L, 43L, 23L, 17L, 23L, 23L, 23L, 8L, 17L, 51L, 
    21L, 23L, 5L, 7L, 23L, 7L, 61L, 23L, 5L, 23L, 23L, 21L, 23L, 
    43L, 23L, 5L, 1L, 9L, 1L, 53L, 8L, 23L, 5L, 23L, 1L, 51L, 
    43L, 51L, 23L, 17L, 5L, 17L, 43L, 22L, 17L, 51L, 9L, 5L, 
    23L, 5L, 8L, 9L, 28L, 17L, 23L, 45L, 17L, 16L, 19L, 23L, 
    28L, 23L, 8L, 23L, 23L, 6L, 9L, 1L, 61L, 21L, 1L, 23L, 61L, 
    21L, 29L, 23L, 36L, 8L, 23L, 17L, 8L, 23L, 5L, 5L, 43L, 17L, 
    9L, 23L, 5L, 23L, 23L, 59L, 23L, 6L, 8L, 23L, 23L, 45L, 43L, 
    17L, 23L, 23L, 16L, 23L, 19L, 19L, 61L, 23L, 61L, 23L, 17L, 
    66L, 39L, 23L, 50L, 23L, 23L, 17L, 51L, 5L, 17L, 11L, 33L, 
    23L, 43L, 23L, 17L, 23L, 23L, 21L, 23L, 17L, 23L, 45L, 49L, 
    7L, 7L, 23L, 28L, 8L, 19L, 5L, 5L, 23L, 17L, 23L, 5L, 51L, 
    17L, 9L, 23L, 50L, 23L, 22L, 23L, 51L, 45L, 21L, 23L, 44L, 
    5L, 1L, 5L, 43L, 23L, 23L, 57L, 23L, 1L, 51L, 23L, 16L, 5L, 
    17L, 5L, 23L, 17L, 23L, 17L, 61L, 6L, 51L, 8L, 23L, 7L, 43L, 
    6L, 23L, 22L, 50L, 1L, 23L, 43L, 2L, 61L, 17L, 61L, 61L, 
    23L, 28L, 17L, 39L, 51L, 5L, 21L, 23L, 59L, 23L, 19L, 19L, 
    5L, 1L, 1L, 9L, 19L, 9L, 28L, 19L, 17L, 17L, 8L, 8L, 61L, 
    63L, 17L, 23L, 7L, 43L, 1L, 43L, 22L, 21L, 23L, 17L, 17L, 
    17L, 63L, 28L, 61L, 51L, 23L, 17L, 23L, 5L, 23L, 59L, 23L, 
    23L, 23L, 8L, 23L, 22L, 23L, 1L, 17L, 23L, 23L, 50L, 23L, 
    5L, 17L, 8L, 51L, 17L, 61L, 22L, 32L, 17L, 7L, 9L, 23L, 63L, 
    2L, 23L, 5L, 23L, 52L, 35L, 17L, 5L, 5L, 35L, 1L, 8L, 49L, 
    7L, 8L, 23L, 23L, 23L, 57L, 1L, 43L, 23L, 29L, 51L, 23L, 
    23L, 61L, 9L, 23L, 29L, 5L, 51L, 23L, 23L, 17L, 59L, 23L, 
    61L, 61L, 61L, 23L, 23L, 61L, 61L, 17L, 23L, 17L, 17L, 8L, 
    17L, 23L, 61L, 1L, 19L, 8L, 35L, 23L, 1L, 23L, 9L, 28L, 9L, 
    17L, 8L, 23L, 23L, 19L, 7L, 23L, 17L, 17L, 59L, 8L, 57L, 
    23L, 21L, 23L, 5L, 36L, 23L, 23L, 66L, 50L, 8L, 42L, 5L, 
    23L, 5L, 45L, 5L, 17L, 51L, 17L, 17L, 5L, 43L, 23L, 23L, 
    51L, 23L, 17L, 9L, 17L, 23L, 23L, 23L, 17L, 51L, 23L, 23L, 
    1L, 17L, 51L, 23L, 19L, 1L, 23L, 17L, 8L, 37L, 23L, 17L, 
    8L, 21L, 19L, 17L, 8L, 57L, 23L, 66L, 1L, 23L, 19L, 21L, 
    9L, 5L, 50L, 22L, 28L, 17L, 23L, 23L, 17L, 8L, 51L, 19L, 
    53L, 61L, 19L, 7L, 23L, 14L, 23L, 61L, 8L, 17L, 23L, 17L, 
    23L, 5L, 17L, 51L, 17L, 23L, 59L, 23L, 23L, 17L, 36L, 23L, 
    23L, 61L, 8L, 23L, 28L, 8L, 23L, 8L, 43L, 23L, 23L, 8L, 43L, 
    8L, 8L, 50L, 23L, 59L, 43L, 12L, 17L, 16L, 23L, 12L, 8L, 
    17L, 23L, 23L, 1L, 22L, 23L, 23L, 1L, 50L, 5L, 17L, 23L, 
    5L, 59L, 19L, 61L, 1L, 52L, 61L, 17L, 35L, 29L, 17L, 23L, 
    17L, 17L, 17L, 17L, 28L, 5L, 8L, 5L, 5L, 1L, 5L, 17L, 61L, 
    23L, 7L, 2L, 16L, 23L, 5L, 7L, 59L, 19L, 23L, 1L, 23L, 23L, 
    5L, 17L, 23L, 43L, 23L, 5L, 23L, 28L, 61L, 17L, 61L, 51L, 
    19L, 5L, 5L, 63L, 60L, 5L, 61L, 23L, 23L, 21L, 66L, 45L, 
    23L, 5L, 23L, 23L, 51L, 16L, 17L, 23L, 23L, 61L, 23L, 17L, 
    23L, 23L, 27L, 5L, 5L, 5L, 19L, 61L, 17L, 19L, 19L, 17L, 
    1L, 19L, 23L, 21L, 23L, 5L, 23L, 17L, 17L, 23L, 17L, 66L, 
    23L, 23L, 21L, 1L, 8L, 24L, 22L, 5L, 23L, 43L, 23L, 10L, 
    5L, 16L, 28L, 23L, 23L, 23L, 17L, 1L, 5L, 1L, 17L, 51L, 5L, 
    51L, 23L, 1L, 17L, 21L, 23L, 57L, 5L, 23L, 5L, 9L, 28L, 22L, 
    5L, 17L, 8L, 51L, 19L, 61L, 23L, 53L, 23L, 43L, 23L, 17L, 
    61L, 57L, 29L, 51L, 23L, 23L, 23L, 8L, 8L, 19L, 17L, 36L, 
    23L, 22L, 5L, 51L, 61L, 8L, 23L, 6L, 43L, 17L, 17L, 49L, 
    23L, 23L, 23L, 23L, 23L, 7L, 17L, 51L, 23L, 23L, 23L, 5L, 
    9L, 23L, 28L, 61L, 5L, 52L, 17L, 17L, 8L, 23L, 23L, 23L, 
    5L, 1L, 66L, 9L, 17L, 21L, 5L, 17L, 36L, 23L, 17L, 23L, 23L, 
    17L, 23L, 23L, 61L, 57L, 61L, 23L, 23L, 9L, 23L, 21L, 19L, 
    17L, 29L, 8L, 23L, 23L, 17L, 7L, 51L, 51L, 23L, 43L, 5L, 
    23L, 23L, 23L, 23L, 62L, 8L, 19L, 23L, 42L, 23L, 8L, 1L, 
    17L, 22L, 36L, 23L, 1L, 17L, 1L, 5L, 8L, 5L, 23L, 66L, 5L, 
    23L, 5L, 17L, 23L, 23L, 23L, 23L, 8L, 19L, 51L, 12L, 23L, 
    61L, 17L, 1L, 23L, 23L, 23L, 50L, 61L, 17L, 23L, 51L, 59L, 
    63L, 23L, 17L, 8L, 6L, 23L, 23L, 17L, 8L, 19L, 23L, 23L, 
    30L, 23L, 22L, 23L, 8L, 17L, 57L, 5L, 19L, 21L, 22L, 51L, 
    17L, 5L, 17L, 23L, 23L, 5L, 36L, 23L, 9L, 23L, 17L, 23L, 
    55L, 23L, 63L, 23L, 19L, 43L, 17L, 5L, 6L, 21L, 43L, 5L, 
    51L, 23L, 43L, 17L, 61L, 5L, 17L, 16L, 43L, 17L, 17L, 23L, 
    51L, 8L, 23L, 5L, 43L, 5L, 19L, 28L, 43L, 23L, 5L, 56L, 32L, 
    19L, 51L, 4L, 17L, 22L, 23L, 8L, 9L, 1L, 7L, 8L, 23L, 17L, 
    17L, 5L, 5L, 43L, 5L, 23L, 23L, 23L, 1L, 52L, 23L, 43L, 19L, 
    17L, 17L, 45L, 1L, 26L, 48L, 63L, 23L, 19L, 23L, 5L, 28L, 
    23L, 23L, 8L, 23L, 35L, 51L, 61L, 63L, 23L, 17L, 23L, 23L, 
    1L, 5L, 23L, 23L, 22L, 43L, 6L, 23L, 23L, 17L, 19L, 1L, 34L, 
    23L, 23L, 23L, 19L, 9L, 32L, 17L, 57L, 23L, 17L, 17L, 23L, 
    17L, 5L, 23L, 51L, 35L, 9L, 22L, 23L, 17L, 17L, 23L, 23L, 
    17L, 50L, 19L, 23L, 5L, 8L, 44L, 1L, 23L, 23L, 1L, 10L, 17L, 
    8L, 23L, 23L, 17L, 17L, 2L, 23L, 16L, 8L, 5L, 61L, 23L, 9L, 
    17L, 19L, 22L, 23L, 61L, 17L, 23L, 29L, 21L, 23L, 17L, 23L, 
    23L, 23L, 23L, 17L, 51L, 19L, 23L, 8L, 28L, 8L, 17L, 23L, 
    23L, 7L, 51L, 8L, 61L, 17L, 23L, 23L, 23L, 5L, 61L, 17L, 
    23L, 17L, 23L, 5L, 8L, 19L, 17L, 23L, 1L, 23L, 17L, 22L, 
    23L, 43L, 23L, 43L, 1L, 22L, 59L, 8L, 6L, 19L, 1L, 17L, 9L, 
    17L, 8L, 23L, 8L, 19L, 7L, 5L, 61L, 5L, 43L, 1L, 29L, 57L, 
    23L, 23L, 28L, 8L, 61L, 8L, 23L, 16L, 21L, 8L, 23L, 5L, 19L, 
    66L, 17L, 17L, 23L, 61L, 21L, 61L, 23L, 23L, 17L, 8L, 17L, 
    28L, 7L, 23L, 51L, 8L, 43L, 23L, 23L, 5L, 28L, 23L, 61L, 
    17L, 17L, 23L, 1L, 7L, 17L, 17L, 23L, 5L, 17L, 17L, 17L, 
    17L, 17L, 21L, 19L, 17L, 23L, 51L, 42L, 1L, 63L, 22L, 17L, 
    23L, 23L, 23L, 21L, 23L, 57L, 17L, 19L, 9L, 23L, 61L, 17L, 
    23L, 64L, 23L, 22L, 17L, 66L, 9L, 19L, 23L, 61L, 17L, 23L, 
    51L, 29L, 22L, 51L, 23L, 23L, 9L, 22L, 23L, 5L, 22L, 22L, 
    34L, 23L, 63L, 23L, 7L, 5L, 21L, 23L, 43L, 19L, 6L, 1L, 8L, 
    1L, 32L, 22L, 5L, 35L, 23L, 19L, 17L, 17L, 59L, 52L, 17L, 
    61L, 23L, 17L, 23L, 23L, 26L, 59L, 23L, 8L, 61L, 66L, 5L, 
    23L, 23L, 5L, 23L, 66L, 17L, 61L, 22L, 23L, 23L, 23L, 28L, 
    16L, 61L, 8L, 19L, 23L, 23L, 36L, 51L, 44L, 17L, 23L, 61L, 
    61L, 8L, 17L, 29L, 23L, 21L, 23L, 5L, 63L, 23L, 23L, 28L, 
    7L, 17L, 17L, 17L, 28L, 17L, 5L, 23L, 19L, 51L, 23L, 63L, 
    28L, 21L, 23L, 45L, 1L, 1L, 1L, 5L, 5L, 17L, 23L, 1L, 23L, 
    22L, 23L, 17L, 17L, 23L, 23L, 51L, 5L, 11L, 61L, 5L, 17L, 
    23L, 61L, 8L, 23L, 5L, 35L, 35L, 19L, 7L, 23L, 23L, 5L, 21L, 
    21L, 23L, 61L, 23L, 17L, 28L, 9L, 61L, 1L, 9L, 5L, 23L, 36L, 
    35L, 60L, 23L, 23L, 23L, 10L, 23L, 23L, 23L, 23L, 5L, 5L, 
    23L, 8L, 8L, 36L, 17L, 5L, 5L, 23L, 17L, 61L, 1L, 17L, 19L, 
    17L, 17L, 22L, 23L, 7L, 23L, 43L, 23L, 17L, 61L, 23L, 61L, 
    23L, 36L, 5L, 17L, 23L, 59L, 5L, 1L, 34L, 18L, 8L, 9L, 17L, 
    8L, 23L, 8L, 17L, 23L, 17L, 28L, 51L, 17L, 17L, 43L, 51L, 
    23L, 5L, 23L, 49L, 8L, 28L, 51L, 63L, 23L, 3L, 9L, 28L, 17L, 
    9L, 16L, 6L, 23L, 17L, 17L, 23L, 17L, 17L, 51L, 17L, 51L, 
    5L, 22L, 43L, 8L, 1L, 51L, 23L, 22L, 23L, 43L, 8L, 43L, 23L, 
    23L, 23L, 23L, 1L, 23L, 5L, 17L, 23L, 8L, 23L, 23L, 17L, 
    59L, 21L, 51L, 61L, 17L, 5L, 23L, 19L, 19L, 1L, 23L, 16L, 
    38L, 17L, 17L, 23L, 21L, 1L, 43L, 29L, 1L, 5L, 23L, 23L, 
    43L, 5L, 23L, 23L, 23L, 5L, 23L, 22L, 23L, 1L, 23L, 8L, 5L, 
    1L, 21L, 17L, 23L, 8L, 21L, 43L, 17L, 16L, 17L, 5L, 2L, 17L, 
    17L, 23L, 23L, 23L, 9L, 21L, 8L, 23L, 23L, 17L, 1L, 9L, 17L, 
    1L, 23L, 21L, 17L, 9L, 17L, 8L, 23L, 8L, 36L, 8L, 23L, 23L, 
    23L, 51L, 5L, 51L, 63L, 19L, 21L, 23L, 5L, 43L, 28L, 8L, 
    21L, 17L, 62L, 23L, 23L, 8L, 23L, 23L, 23L, 23L, 61L, 45L, 
    23L, 23L, 1L, 19L, 23L, 17L, 23L, 22L, 5L, 66L, 7L, 23L, 
    29L, 8L, 28L, 5L, 51L, 60L, 9L, 51L, 17L, 17L, 46L, 32L, 
    43L, 57L, 17L, 9L, 23L, 23L, 5L, 17L, 17L, 17L, 23L, 23L, 
    5L, 23L, 23L, 17L, 43L, 17L, 21L, 23L, 19L, 19L, 23L, 28L, 
    17L, 8L, 22L, 50L, 5L, 51L, 17L, 23L, 1L, 66L, 61L, 17L, 
    23L, 9L, 23L, 51L, 30L, 17L, 17L, 22L, 5L, 23L, 61L, 23L, 
    17L, 8L, 17L, 2L, 5L, 63L, 23L, 23L, 50L, 29L, 23L, 17L, 
    8L, 57L, 23L, 19L, 1L, 23L, 17L, 35L, 23L, 17L, 23L, 23L, 
    23L, 23L, 17L, 1L, 21L, 23L, 19L, 23L, 17L, 51L, 61L, 17L, 
    5L, 17L, 23L, 23L, 28L, 5L, 51L, 28L, 5L, 59L, 35L, 23L, 
    51L, 22L, 23L, 1L, 22L, 17L, 35L, 40L, 8L, 8L, 11L, 23L, 
    11L, 59L, 17L, 51L, 65L, 23L, 8L, 17L, 19L, 23L, 19L, 22L, 
    22L, 51L, 23L, 61L, 51L, 23L, 61L, 44L, 17L, 36L, 61L, 5L, 
    51L, 9L, 23L, 52L, 23L, 8L, 23L, 17L, 23L, 23L, 19L, 23L, 
    1L, 51L, 5L, 28L, 17L, 23L, 23L, 17L, 60L, 23L, 23L, 5L, 
    1L, 8L, 23L, 17L, 2L, 17L, 23L, 51L, 17L, 17L, 22L, 23L, 
    1L, 61L, 32L, 23L, 61L, 23L, 52L, 17L, 17L, 8L, 23L, 8L, 
    23L, 17L, 38L, 32L, 8L, 17L, 6L, 23L, 5L, 23L, 21L, 21L, 
    29L, 23L, 17L, 17L, 17L, 22L, 7L, 23L, 23L, 23L, 61L, 23L, 
    23L, 17L, 57L, 23L, 1L, 35L, 17L, 5L, 5L, 1L, 51L, 17L, 6L, 
    61L, 23L, 51L, 17L, 7L, 1L, 43L, 38L, 51L, 22L, 1L, 22L, 
    50L, 23L, 17L, 17L, 36L, 21L, 8L, 23L, 8L, 17L, 17L, 51L, 
    21L, 17L, 17L, 19L, 17L, 17L, 23L, 23L, 35L, 51L, 17L, 22L, 
    23L, 51L, 17L, 2L, 5L, 23L, 17L, 51L, 23L, 51L, 61L, 5L, 
    52L, 23L, 17L, 63L, 5L, 28L, 62L, 5L, 17L, 1L, 23L, 23L, 
    19L, 23L, 23L, 17L, 17L, 17L, 9L, 17L, 22L, 5L, 38L, 17L, 
    21L, 45L, 23L, 23L, 21L, 17L, 17L, 17L, 17L, 19L, 5L, 45L, 
    23L, 17L, 36L, 43L, 61L, 23L, 61L, 1L, 63L, 1L, 23L, 9L, 
    23L, 51L, 1L, 22L, 29L, 23L, 9L, 5L, 8L, 23L, 51L, 17L, 45L, 
    17L, 23L, 17L, 23L, 17L, 5L, 17L, 61L, 5L, 9L, 23L, 5L, 17L, 
    23L, 23L, 23L, 5L), .Label = c(".COM", "A",
"aaa", "ab",
    "abc", "ACT", "aoap", "api",
"API", "app", "APP", "AUTH",
    "B", "bbb", "BROWSER", "BULK",
"C", "Canvas", "CCC", "cccc",
    "cert", "Change Sets", "CODE",
"Community", "COMMUNITY",
    "CONNECT", "DATABASE", "DEPLOYMENT",
"DESIGN", "DEV", "Development",
    "DOMAIN", "Email", "hello", "hmm",
"IDE", "ISP", "LLM", "LOG",
    "maintain", "manager", "message",
"NEW", "NEW1", "new11",
    "new11111", "New2", "new3", "no",
"Oauth", "on", "open",
    "Other", "post", "quick", "REST",
"SAML", "secure", "Site.com",
    "SLOWNES", "soo", "SOSL", "sql",
"sso", "TOKEN", "YES"), class =
"factor"),
    score = c(9L, 10L, 2L, 10L, 10L, 2L, 8L, 10L, 10L, 10L, 10L, 
    10L, 10L, 2L, 10L, 4L, 4L, 10L, 9L, 10L, 10L, 10L, 10L, 5L, 
    9L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 1L, 9L, 8L, 10L, 
    10L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 8L, 8L, 10L, 9L, 
    8L, 7L, 8L, 9L, 10L, 10L, 8L, 10L, 10L, 10L, 8L, 10L, 10L, 
    8L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 5L, 8L, 9L, 10L, 
    10L, 10L, 10L, 8L, 10L, 9L, 7L, 8L, 10L, 10L, 10L, 6L, 9L, 
    10L, 10L, 10L, 9L, 9L, 10L, 10L, 10L, 6L, 8L, 10L, 10L, 9L, 
    6L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 1L, 10L, 9L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 7L, 
    10L, 0L, 10L, 10L, 6L, 0L, 8L, 10L, 10L, 10L, 10L, 1L, 8L, 
    1L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 6L, 10L, 9L, 10L, 9L, 4L, 8L, 10L, 10L, 
    10L, 10L, 10L, 0L, 9L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 8L, 
    9L, 10L, 10L, 10L, 6L, 9L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 
    9L, 6L, 9L, 10L, 10L, 9L, 7L, 8L, 10L, 10L, 10L, 10L, 10L, 
    8L, 0L, 10L, 8L, 9L, 10L, 10L, 10L, 10L, 10L, 8L, 9L, 9L, 
    10L, 9L, 9L, 8L, 10L, 10L, 9L, 10L, 10L, 7L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 6L, 10L, 10L, 10L, 10L, 10L, 1L, 9L, 7L, 10L, 
    2L, 9L, 9L, 6L, 8L, 8L, 10L, 10L, 10L, 10L, 9L, 9L, 10L, 
    10L, 8L, 8L, 10L, 10L, 8L, 8L, 10L, 4L, 10L, 8L, 10L, 9L, 
    9L, 10L, 10L, 7L, 10L, 4L, 10L, 8L, 10L, 10L, 9L, 9L, 6L, 
    10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 8L, 10L, 10L, 10L, 
    8L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 9L, 6L, 10L, 
    9L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 3L, 10L, 
    10L, 10L, 10L, 2L, 10L, 10L, 0L, 10L, 0L, 10L, 10L, 10L, 
    10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 10L, 10L, 8L, 9L, 10L, 
    9L, 0L, 10L, 10L, 8L, 10L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 
    8L, 9L, 9L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 6L, 7L, 10L, 10L, 10L, 10L, 
    10L, 10L, 8L, 10L, 8L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 
    10L, 10L, 10L, 8L, 9L, 10L, 10L, 1L, 10L, 9L, 10L, 10L, 10L, 
    9L, 10L, 10L, 6L, 9L, 9L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 0L, 0L, 10L, 8L, 8L, 10L, 10L, 8L, 9L, 9L, 10L, 
    10L, 10L, 10L, 10L, 2L, 8L, 10L, 8L, 10L, 8L, 10L, 8L, 10L, 
    10L, 8L, 8L, 0L, 8L, 8L, 10L, 10L, 10L, 8L, 1L, 8L, 10L, 
    2L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 4L, 8L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 3L, 10L, 10L, 10L, 10L, 8L, 
    10L, 10L, 10L, 7L, 9L, 9L, 10L, 10L, 8L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 
    10L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 0L, 
    6L, 9L, 10L, 9L, 7L, 8L, 10L, 10L, 7L, 9L, 10L, 10L, 10L, 
    10L, 0L, 10L, 10L, 10L, 7L, 10L, 10L, 8L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 
    9L, 10L, 8L, 10L, 9L, 10L, 10L, 10L, 9L, 8L, 10L, 10L, 10L, 
    6L, 10L, 10L, 9L, 10L, 8L, 10L, 0L, 10L, 8L, 9L, 9L, 9L, 
    10L, 10L, 10L, 10L, 10L, 8L, 2L, 10L, 10L, 8L, 10L, 9L, 10L, 
    9L, 10L, 0L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 5L, 
    10L, 10L, 10L, 8L, 7L, 10L, 10L, 9L, 7L, 10L, 5L, 8L, 9L, 
    10L, 10L, 8L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 1L, 7L, 10L, 7L, 10L, 0L, 9L, 7L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 10L, 8L, 10L, 8L, 10L, 8L, 10L, 
    9L, 9L, 8L, 9L, 10L, 9L, 10L, 10L, 2L, 10L, 10L, 10L, 10L, 
    10L, 0L, 10L, 8L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 8L, 8L, 
    9L, 9L, 7L, 7L, 5L, 9L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 
    9L, 5L, 10L, 8L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 8L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 7L, 10L, 10L, 6L, 6L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 
    8L, 10L, 10L, 10L, 9L, 10L, 8L, 10L, 9L, 9L, 10L, 9L, 9L, 
    10L, 10L, 10L, 10L, 10L, 6L, 8L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 9L, 10L, 2L, 10L, 9L, 9L, 
    10L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 
    10L, 8L, 10L, 10L, 8L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 9L, 10L, 10L, 9L, 8L, 8L, 9L, 10L, 0L, 0L, 2L, 9L, 10L, 
    10L, 8L, 10L, 6L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    5L, 10L, 8L, 10L, 10L, 9L, 0L, 10L, 10L, 10L, 9L, 1L, 9L, 
    10L, 8L, 2L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 9L, 9L, 
    2L, 10L, 8L, 8L, 10L, 10L, 3L, 10L, 10L, 10L, 9L, 10L, 10L, 
    8L, 10L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 6L, 0L, 4L, 9L, 
    8L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 10L, 10L, 10L, 9L, 9L, 7L, 8L, 10L, 8L, 10L, 8L, 
    10L, 8L, 7L, 10L, 10L, 8L, 9L, 10L, 10L, 9L, 10L, 9L, 10L, 
    10L, 10L, 9L, 10L, 9L, 9L, 10L, 10L, 8L, 9L, 10L, 10L, 0L, 
    10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 10L, 10L, 6L, 10L, 
    10L, 10L, 10L, 10L, 9L, 4L, 9L, 10L, 1L, 9L, 9L, 10L, 7L, 
    9L, 10L, 10L, 10L, 10L, 9L, 10L, 9L, 10L, 2L, 10L, 9L, 7L, 
    9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 1L, 10L, 9L, 
    10L, 10L, 3L, 9L, 10L, 10L, 8L, 10L, 10L, 4L, 10L, 8L, 10L, 
    10L, 10L, 9L, 8L, 10L, 10L, 9L, 10L, 7L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 6L, 10L, 
    9L, 9L, 8L, 5L, 10L, 10L, 7L, 9L, 10L, 10L, 0L, 10L, 10L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 
    9L, 10L, 10L, 7L, 8L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 0L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 9L, 10L, 10L, 10L, 9L, 3L, 10L, 9L, 10L, 10L, 6L, 8L, 
    7L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 
    10L, 8L, 10L, 10L, 10L, 10L, 10L, 2L, 7L, 10L, 10L, 10L, 
    9L, 2L, 9L, 0L, 10L, 10L, 10L, 10L, 9L, 10L, 8L, 10L, 9L, 
    10L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 
    10L, 9L, 9L, 10L, 10L, 8L, 10L, 10L, 5L, 10L, 9L, 10L, 9L, 
    10L, 9L, 10L, 8L, 9L, 10L, 10L, 3L, 9L, 10L, 7L, 10L, 9L, 
    10L, 10L, 10L, 8L, 10L, 10L, 5L, 10L, 8L, 10L, 9L, 10L, 10L, 
    10L, 10L, 9L, 9L, 10L, 10L, 10L, 10L, 8L, 10L, 9L, 9L, 10L, 
    10L, 10L, 10L, 10L, 9L, 9L, 10L, 9L, 9L, 10L, 5L, 10L, 9L, 
    10L, 6L, 10L, 10L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 3L, 9L, 
    9L, 10L, 9L, 10L, 0L, 10L, 10L, 10L, 10L, 9L, 10L, 7L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 9L, 10L, 8L, 9L, 10L, 9L, 
    10L, 0L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 7L, 8L, 10L, 
    10L, 7L, 8L, 10L, 10L, 9L, 10L, 10L, 5L, 10L, 10L, 10L, 10L, 
    10L, 10L, 6L, 10L, 10L, 10L, 10L, 10L, 8L, 7L, 10L, 9L, 10L, 
    10L, 9L, 10L, 10L, 10L, 10L, 9L, 10L, 6L, 9L, 10L, 10L, 10L, 
    10L, 7L, 10L, 10L, 10L, 10L, 7L, 10L, 6L, 8L, 10L, 10L, 10L, 
    10L, 10L, 9L, 9L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 0L, 0L, 10L, 10L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 0L, 10L, 10L, 9L, 9L, 5L, 8L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 10L, 10L, 0L, 10L, 10L, 6L, 8L, 10L, 10L, 10L, 
    8L, 10L, 10L, 8L, 10L, 8L, 10L, 0L, 8L, 10L, 10L, 10L, 10L, 
    10L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 0L, 8L, 
    10L, 10L, 9L, 6L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 8L, 5L, 10L, 10L, 10L, 10L, 3L, 10L, 9L, 10L, 10L, 10L, 
    10L, 8L, 9L, 10L, 10L, 10L, 10L, 6L, 10L, 9L, 10L, 7L, 10L, 
    10L, 9L, 8L, 8L, 0L, 10L, 8L, 9L, 10L, 10L, 9L, 5L, 8L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 2L, 10L, 8L, 10L, 
    9L, 10L, 10L, 10L, 10L, 6L, 10L, 10L, 10L, 10L, 9L, 10L, 
    8L, 10L, 10L, 10L, 8L, 10L, 0L, 10L, 9L, 9L, 10L, 10L, 10L, 
    10L, 10L, 9L, 10L, 10L, 7L, 6L, 10L, 5L, 10L, 8L, 10L, 10L, 
    10L, 10L, 10L, 10L, 3L, 9L, 10L, 10L, 10L, 3L, 2L, 10L, 9L, 
    0L, 10L, 6L, 0L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 
    6L, 10L, 7L, 0L, 3L, 10L, 10L, 6L, 9L, 8L, 10L, 9L, 8L, 10L, 
    7L, 10L, 10L, 10L, 10L, 9L, 10L, 8L, 8L, 9L, 10L, 9L, 5L, 
    9L, 9L, 10L, 10L, 10L, 0L, 10L, 9L, 10L, 10L, 10L, 9L, 8L, 
    10L, 10L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 9L, 10L, 9L, 10L, 9L, 10L, 10L, 9L, 10L, 8L, 
    10L, 9L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 
    9L, 10L, 9L, 9L, 10L, 10L, 10L, 8L, 8L, 10L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 3L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 
    10L, 10L, 10L, 6L, 7L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 
    10L, 10L, 5L, 6L, 3L, 10L, 2L, 5L, 9L, 9L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 2L, 10L, 10L, 10L, 
    10L, 10L, 9L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 8L, 6L, 10L, 
    10L, 9L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 7L, 10L, 10L, 8L, 10L, 8L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 9L, 10L, 9L, 10L, 0L, 8L, 10L, 10L, 6L, 
    8L, 10L, 10L, 8L, 8L, 8L, 8L, 10L, 10L, 10L, 10L, 9L, 2L, 
    10L, 10L, 10L, 9L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 10L, 10L, 5L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 9L, 8L, 9L, 8L, 10L, 9L, 10L, 8L, 10L, 10L, 9L, 10L, 
    9L, 8L, 10L, 9L, 7L, 10L, 10L, 7L, 10L, 10L, 9L, 8L, 8L, 
    8L, 8L, 2L, 8L, 10L, 10L, 10L, 10L, 9L, 9L, 10L, 10L, 8L, 
    8L, 8L, 10L, 8L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 6L, 
    10L, 10L, 10L, 8L, 10L, 10L, 8L, 10L, 10L, 10L, 8L, 10L, 
    10L, 10L, 10L, 10L, 0L, 9L, 9L, 8L, 10L, 7L, 10L, 10L, 10L, 
    10L, 8L, 10L, 10L, 8L, 10L, 8L, 10L, 10L, 10L, 9L, 10L, 9L, 
    10L, 10L, 10L, 10L, 7L, 8L, 10L, 10L, 10L, 10L, 4L, 10L, 
    10L, 10L, 6L, 7L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 0L, 9L, 
    10L, 9L, 6L, 10L, 8L, 10L, 10L, 10L, 0L, 10L, 10L, 9L, 10L, 
    8L, 10L, 8L, 9L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 9L, 9L, 10L, 
    10L, 6L, 10L, 6L, 10L, 10L, 10L, 10L, 9L, 4L, 9L, 9L, 9L, 
    10L, 10L, 0L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 9L, 9L, 9L, 10L, 10L, 0L, 10L, 10L, 9L, 3L, 8L, 
    10L, 9L, 10L, 9L, 3L, 8L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 
    8L, 4L, 8L, 10L, 10L, 10L, 10L, 10L, 0L, 4L), rep_score = c(9.5, 
    10, 2, 10, 10, 3.5, 7.5, 10, 10, 10, 10, 10, 10, 2, 10, 7.5, 
    6, 10, 9.5, 10, 9, 10, 10, 5.5, 9, 10, 8, 10, 10, 10, 10, 
    10, 9.5, 1.5, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 9.5, 
    10, 10, 8, 10, 10, 9.5, 6, 9, 9, 10, 10, 7.5, 10, 10, 10, 
    7.5, 10, 10, 8, 9, 10, 10, 10, 10, 10, 10, 7.5, 7.5, 7.5, 
    9, 10, 10, 10, 10, 7.5, 10, 9, 7.5, 8, 10, 10, 10, 7.5, 9.5, 
    10, 9.5, 10, 10, 8.5, 10, 9, 9.5, 9.5, 8, 10, 10, 9, 9, 10, 
    10, 9, 10, 10, 10, 10, 9.5, 2, 10, 9, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 10, 8, 10, 9.3, 10, 10, 7.5, 9.3, 
    8, 9, 10, 10, 9.5, 6.5, 7.5, 6, 10, 10, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 10, 10, 6, 7, 8.5, 9.5, 9.5, 5, 7.5, 
    10, 10, 10, 8, 10, 6, 8, 6.5, 10, 10, 10, 9, 10, 10, 8, 8.5, 
    10, 10, 10, 7.5, 9, 8, 10, 10, 10, 10, 10, 10, 9, 7, 10, 
    10, 10, 9, 7.5, 9.5, 10, 9, 10, 10, 10, 8, 9.3, 10, 9, 10, 
    10, 10, 9.5, 10, 10, 8, 9, 9, 10, 10, 10, 8, 10, 10, 9.5, 
    10, 9, 7.5, 10, 10, 10, 8.5, 10, 9.5, 10, 10, 10, 10, 10, 
    10, 9, 10, 10, 10, 10, 10, 5, 10, 10, 10, 10, 10, 4, 9, 7, 
    10, 4, 8.5, 8.5, 6.5, 7.5, 8.5, 10, 10, 10, 10, 8.5, 8, 9, 
    10, 9, 8, 10, 10, 8, 10, 10, 8.5, 10, 8, 10, 9, 9.5, 10, 
    9, 7.5, 10, 4.5, 9.5, 8, 10, 10, 9.5, 8.5, 8, 10, 10, 10, 
    10, 10, 10, 9, 10, 9, 10, 9.5, 8, 8, 10, 10, 9.5, 10, 8.5, 
    10, 9, 10, 10, 7.5, 7, 10, 9.5, 10, 10, 10, 7, 9.5, 10, 10, 
    10, 10, 4, 10, 10, 10, 10, 7, 10, 10, 10, 10, 9.3, 10, 10, 
    10, 10, 10, 10, 9, 10, 10, 10, 10, 10, 10, 7.5, 10, 10, 9, 
    6, 10, 10, 9.5, 10, 8.5, 10, 10, 10, 10, 10, 10, 10, 9.5, 
    9.5, 10, 9, 10, 9.5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 
    9.5, 9, 10, 6, 9, 10, 10, 9.5, 10, 10, 10, 9.5, 10, 8, 10, 
    10, 10, 8.5, 10, 9.5, 10, 10, 10, 10, 8, 10, 10, 10, 4.5, 
    10, 10, 10, 10, 10, 9, 9, 10, 6, 10, 9.5, 8, 10, 10, 10, 
    9, 10, 10, 10, 9.5, 7, 9.3, 10, 10, 8.5, 10, 10, 8, 10, 9.5, 
    10, 10, 10, 10, 9.5, 5.5, 8, 10, 7.5, 10, 7.5, 10, 8, 10, 
    10, 8, 8.5, 9.3, 8, 8, 10, 10, 10, 9.5, 1.5, 8, 10, 7, 10, 
    10, 10, 10, 10, 10, 10, 7.5, 8, 10, 10, 10, 10, 10, 10, 10, 
    10, 7.5, 10, 10, 10, 10, 7.5, 10, 10, 10, 8, 9, 9, 10, 10, 
    9, 10, 9.5, 10, 10, 10, 10, 10, 10, 9, 10, 10, 10, 10, 8, 
    10, 10, 8.5, 8, 10, 10, 10, 10, 10, 10, 10, 10, 10, 7, 7, 
    9, 10, 9, 10, 8, 10, 10, 7.5, 10, 10, 10, 10, 10, 6.5, 10, 
    10, 10, 9.5, 10, 10, 9, 10, 10, 10, 9, 10, 9.5, 10, 10, 10, 
    10, 10, 10, 10, 9.5, 10, 9, 10, 9, 10, 9, 10, 10, 10, 9.5, 
    7.5, 10, 10, 10, 4.5, 10, 9, 9.5, 10, 8, 10, 1, 10, 8, 8, 
    10, 10, 10, 10, 10, 10, 10, 8, 3.5, 10, 10, 8.5, 10, 9.5, 
    10, 10, 10, 3, 10, 10, 10, 10, 10, 10, 10, 10, 5, 10, 10, 
    10, 8, 7, 10, 10, 9, 5.5, 8, 5, 5, 9, 10, 10, 8, 9, 10, 9, 
    10, 10, 10, 9.5, 10, 10, 10, 10, 10, 1, 7.5, 10, 9, 10, 9.3, 
    10, 10, 10, 8.5, 10, 10, 10, 10, 9, 10, 10, 8, 7.5, 8, 10, 
    8.5, 10, 9, 8.5, 7.5, 8.5, 10, 9, 10, 10, 3.5, 10, 10, 10, 
    10, 10, 6, 10, 8, 10, 10, 10, 10, 10, 10, 10, 8, 8.5, 9, 
    9, 8, 8.5, 5.5, 7.5, 10, 10, 10, 10, 9, 10, 9.5, 8, 5, 10, 
    10, 10, 10, 8, 10, 9, 10, 10, 10, 9, 10, 10, 10, 10, 10, 
    10, 10, 5.5, 10, 10, 9, 4.5, 10, 10, 10, 10, 10, 9.5, 10, 
    10, 10, 9, 10, 10, 10, 9.5, 10, 10, 10, 10, 10, 10, 9.5, 
    10, 10, 8.5, 10, 8.5, 10, 10, 10, 9.5, 10, 8, 10, 9.5, 9.5, 
    10, 9.5, 10, 10, 10, 10, 10, 10, 5.5, 8, 10, 10, 9, 10, 10, 
    10, 10, 10, 10, 8.5, 9.5, 10, 8.5, 10, 5, 10, 9.5, 9.5, 10, 
    10, 10, 8, 10, 10, 10, 8.5, 10, 10, 10, 10, 10, 6, 10, 10, 
    7.5, 8.5, 10, 10, 10, 10, 10, 10, 10, 10, 9, 10, 8.5, 8, 
    9.5, 10, 10, 9.3, 9.3, 8, 9, 10, 10, 8, 10, 8, 10, 10, 10, 
    10, 8.5, 10, 10, 10, 5, 10, 9, 10, 10, 9, 9.3, 10, 10, 10, 
    10, 2.5, 9, 10, 10, 2, 9.5, 10, 8, 10, 10, 10, 10, 10, 9, 
    8.5, 5.5, 10, 8, 9.5, 10, 10, 6, 10, 10, 10, 9.5, 10, 9.5, 
    6.5, 10, 10, 10, 10, 10, 10, 10, 10, 6, 9.3, 8, 8.5, 9, 10, 
    9.5, 10, 10, 10, 10, 10, 10, 10, 10, 9, 10, 10, 10, 10, 10, 
    9.5, 9.5, 8.5, 9, 10, 8, 10, 9, 10, 10, 9, 10, 10, 8.5, 9.5, 
    10, 10, 9.5, 10, 9, 8, 10, 10, 9, 10, 8, 9, 10, 10, 6, 9.5, 
    9.5, 10, 9.3, 10, 10, 10, 9, 10, 10, 10, 9.5, 10, 10, 6, 
    10, 10, 10, 10, 10, 9, 4.5, 8.5, 10, 5, 9, 9, 10, 6, 9, 10, 
    9.5, 9.5, 10, 9.5, 10, 7.5, 10, 3, 10, 9.5, 10, 9, 9, 9.5, 
    10, 10, 10, 10, 10, 10, 10, 2, 10, 9.5, 10, 10, 6, 9, 10, 
    10, 8, 10, 10, 6, 10, 8.5, 10, 10, 10, 9, 7.5, 10, 10, 9, 
    10, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 9.5, 10, 10, 
    10, 6, 10, 9, 10, 8, 5.5, 10, 10, 8.5, 9, 10, 9.5, 6, 10, 
    10, 10, 10, 10, 10, 8, 10, 10, 10, 9, 10, 10, 10, 9, 9, 10, 
    7, 8.5, 10, 10, 8.5, 10, 10, 9, 9.5, 10, 10, 10, 10, 9, 9.3, 
    10, 10, 10, 10, 9.5, 10, 10, 10, 10, 9.3, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 7.5, 10, 10, 10, 9, 4, 10, 10, 10, 
    10, 5.5, 8.5, 7.5, 10, 10, 10, 10, 10, 10, 8.5, 10, 10, 10, 
    10, 10, 9, 10, 10, 10, 10, 10, 7, 7, 10, 10, 10, 9, 6, 9.5, 
    5.5, 10, 10, 10, 10, 10, 10, 9, 10, 8, 10, 10, 9, 10, 10, 
    10, 10, 10, 10, 10, 10, 9.5, 10, 10, 9, 10, 10, 8, 10, 10, 
    10, 10, 9, 10, 8.5, 10, 9, 10, 8, 9, 10, 10, 8, 9, 10, 7.5, 
    10, 9.5, 10, 9, 10, 8, 10, 10, 10, 10, 8.5, 10, 9.5, 10, 
    10, 10, 10, 10, 10, 10, 10, 10, 10, 8, 10, 9.5, 9.5, 10, 
    10, 10, 10, 10, 9.5, 10, 10, 10, 9, 10, 4.5, 10, 9, 10, 9.5, 
    10, 10, 10, 10, 10, 10, 9.5, 10, 10, 2.5, 4.5, 10, 10, 10, 
    10, 3, 10, 10, 10, 10, 8.5, 10, 8, 10, 10, 10, 10, 10, 10, 
    10, 8, 10, 10, 10, 10, 10, 10, 10, 10, 10, 8, 10, 10, 10, 
    10, 8, 10, 10, 10, 10, 9.3, 10, 10, 10, 10, 10, 10, 10, 7.5, 
    8, 10, 10, 6.5, 8, 10, 10, 9.5, 10, 10, 6.5, 10, 10, 10, 
    10, 10, 10, 6, 10, 10, 10, 10, 8, 9, 7, 10, 8, 10, 10, 9, 
    10, 9, 10, 9.5, 9.5, 10, 10, 9, 10, 10, 10, 10, 7, 10, 9.5, 
    10, 10, 8, 10, 6.5, 7.5, 10, 10, 10, 9.5, 10, 9, 10, 10, 
    10, 9, 10, 10, 10, 10, 10, 10, 10, 10, 9.3, 10, 10, 8.5, 
    10, 10, 10, 7.5, 10, 10, 10, 10, 10, 7.5, 10, 10, 8.5, 9, 
    6, 8, 10, 10, 10, 10, 10, 10, 10, 8.5, 10, 10, 10, 10, 10, 
    10, 9, 10, 10, 10, 10, 9.3, 10, 10, 7.5, 10, 10, 10, 10, 
    8, 10, 10, 8, 10, 8, 10, 5, 7, 10, 10, 10, 10, 10, 8.5, 10, 
    10, 10, 10, 10, 10, 10, 10, 9, 9.3, 8, 10, 10, 7.5, 7, 9, 
    9, 3, 10, 8.5, 10, 10, 9.5, 10, 9, 8, 10, 10, 10, 10, 6, 
    10, 9, 10, 10, 10, 10, 8, 9, 10, 10, 10, 10, 6, 10, 9.5, 
    10, 9, 10, 10, 10, 9, 8.5, 3, 10, 7.5, 9, 10, 10, 9.5, 6, 
    10, 10, 10, 10, 10, 10, 10, 10, 10, 9, 1, 10, 8, 10, 10, 
    10, 10, 10, 10, 7.5, 10, 10, 10, 10, 9, 10, 9, 10, 10, 10, 
    8, 10, 6, 10, 8.5, 9, 9.5, 10, 9.5, 10, 10, 8.5, 10, 10, 
    7, 5.5, 10, 6, 10, 9, 10, 10, 10, 9.5, 10, 10, 6, 7, 10, 
    9.5, 10, 2, 4, 10, 10, 3.5, 10, 8, 4, 10, 10, 10, 10, 8.5, 
    10, 10, 10, 10, 5.5, 9.5, 10, 9.3, 5, 9.3, 10, 8, 10, 8, 
    10, 9, 6.5, 10, 8.5, 9, 10, 9.5, 10, 9, 8.5, 10, 8, 8, 10, 
    9, 6, 9, 9.5, 10, 10, 10, 1.5, 10, 10, 10, 10, 10, 9, 8, 
    10, 10, 10, 10, 9, 10, 6.5, 10, 10, 10, 10, 10, 8, 10, 10, 
    9.5, 10, 10, 10, 9.5, 9, 9.5, 9, 10, 8, 10, 9, 10, 10, 10, 
    10, 9.5, 10, 10, 10, 9, 10, 10, 10, 10, 9.5, 10, 10, 9.5, 
    7, 9, 10, 10, 10, 10, 9.5, 10, 10, 10, 1.5, 10, 10, 9.5, 
    10, 10, 10, 10, 10, 10, 10, 6.5, 8, 10, 10, 9, 10, 10, 10, 
    10, 10, 10, 9, 4.5, 6, 10, 4, 5, 8, 9, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 4, 10, 10, 10, 10, 10, 10, 4, 10, 
    10, 10, 10, 9.5, 10, 8, 3.5, 10, 10, 9, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 9, 10, 10, 9, 10, 10, 7.5, 10, 8, 10, 
    10, 10, 9, 10, 9, 10, 9, 10, 9.5, 10, 9.3, 9.5, 10, 9.5, 
    6, 8, 10, 10, 8, 8, 8.5, 9, 10, 10, 10, 9.5, 10, 6, 10, 10, 
    10, 10, 10, 8.5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 9.5, 10, 10, 10, 9, 7.5, 9, 8.5, 10, 
    9, 10, 9, 10, 10, 9.5, 10, 9, 8.5, 10, 9.5, 8, 10, 10, 9, 
    10, 10, 10, 8.5, 8, 8, 5.5, 6, 7.5, 10, 10, 10, 10, 10, 9, 
    10, 10, 8, 8, 8, 10, 10, 8, 9, 10, 9.5, 10, 10, 10, 10, 10, 
    10, 10, 10, 9.5, 10, 10, 10, 10, 10, 10, 9.5, 10, 10, 10, 
    10, 10, 9.3, 9, 9, 8.5, 10, 8.5, 10, 10, 10, 10, 8, 8, 10, 
    10, 10, 9, 10, 10, 10, 9, 10, 9, 10, 10, 10, 10, 8.5, 8, 
    10, 10, 10, 10, 5.5, 10, 10, 10, 5.5, 7, 10, 10, 10, 8.5, 
    10, 10, 10, 6, 9.5, 10, 9, 8, 10, 9, 10, 9, 10, 9.3, 10, 
    10, 9.5, 10, 8, 10, 8.5, 9, 10, 7.5, 10, 10, 9, 10, 10, 9, 
    10, 10, 10, 10, 10, 8.5, 9, 10, 10, 10, 9, 9, 9.5, 10, 5, 
    10, 6, 10, 9.5, 10, 10, 9.5, 2.5, 10, 9.5, 9, 10, 10, 2, 
    10, 10, 10, 9.5, 10, 10, 10, 10, 9, 10, 10, 10, 9.5, 9, 10, 
    10, 5, 10, 10, 9, 8, 8, 10, 8.5, 10, 7.5, 2, 8, 10, 10, 10, 
    10, 10, 8.5, 10, 8, 10, 10, 10, 10, 10, 10, 9.5, 9.3, 8.5
    ), product_know = structure(c(4L, 4L, 5L, 4L, 1L, 3L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 10L, 9L, 4L, 4L, 4L, 11L, 
    4L, 4L, 9L, 12L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 12L, 3L, 12L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 
    4L, 4L, 9L, 12L, 12L, 4L, 4L, 11L, 4L, 4L, 4L, 11L, 4L, 4L, 
    12L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 8L, 12L, 12L, 4L, 
    4L, 4L, 4L, 11L, 4L, 12L, 10L, 11L, 4L, 4L, 4L, 10L, 12L, 
    4L, 12L, 4L, 4L, 11L, 4L, 11L, 12L, 12L, 11L, 4L, 4L, 12L, 
    12L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 12L, 5L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 2L, 4L, 
    4L, 10L, 2L, 11L, 12L, 4L, 4L, 12L, 9L, 12L, 5L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 10L, 
    11L, 4L, 4L, 9L, 10L, 4L, 4L, 4L, 11L, 4L, 9L, 11L, 8L, 4L, 
    4L, 4L, 12L, 4L, 4L, 11L, 12L, 4L, 4L, 4L, 11L, 12L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 12L, 10L, 4L, 4L, 4L, 11L, 11L, 12L, 
    4L, 12L, 4L, 4L, 4L, 11L, 2L, 4L, 11L, 4L, 4L, 4L, 12L, 4L, 
    4L, 11L, 4L, 12L, 4L, 4L, 4L, 11L, 4L, 4L, 12L, 4L, 4L, 12L, 
    4L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 11L, 4L, 
    4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 8L, 12L, 10L, 4L, 
    7L, 12L, 12L, 9L, 10L, 11L, 4L, 4L, 4L, 4L, 12L, 11L, 12L, 
    4L, 12L, 11L, 4L, 4L, 11L, 4L, 4L, 10L, 4L, 1L, 4L, 12L, 
    12L, 4L, 4L, 11L, 4L, 8L, 12L, 11L, 4L, 4L, 12L, 12L, 9L, 
    4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 12L, 10L, 11L, 
    4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 12L, 11L, 4L, 12L, 
    4L, 4L, 4L, 11L, 12L, 4L, 4L, 4L, 4L, 6L, 4L, 4L, 4L, 4L, 
    11L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 10L, 4L, 4L, 12L, 9L, 4L, 4L, 12L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 9L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 12L, 4L, 
    12L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 
    4L, 12L, 12L, 4L, 9L, 4L, 12L, 11L, 4L, 4L, 4L, 12L, 4L, 
    4L, 4L, 12L, 9L, 2L, 4L, 4L, 12L, 4L, 4L, 11L, 4L, 12L, 4L, 
    4L, 1L, 4L, 12L, 12L, 12L, 4L, 11L, 4L, 11L, 4L, 11L, 4L, 
    4L, 11L, 12L, 2L, 11L, 11L, 4L, 4L, 4L, 12L, 5L, 11L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 11L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 10L, 4L, 4L, 4L, 11L, 
    12L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 
    4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 1L, 11L, 10L, 12L, 4L, 12L, 4L, 11L, 4L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 12L, 4L, 4L, 12L, 
    4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 12L, 4L, 12L, 4L, 12L, 4L, 4L, 4L, 12L, 10L, 4L, 4L, 
    4L, 9L, 4L, 12L, 4L, 4L, 11L, 4L, 2L, 4L, 11L, 11L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 11L, 5L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 
    4L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 8L, 4L, 4L, 4L, 11L, 
    10L, 4L, 4L, 12L, 6L, 9L, 8L, 9L, 12L, 4L, 4L, 11L, 11L, 
    4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 11L, 4L, 
    12L, 4L, 2L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 
    11L, 10L, 11L, 4L, 11L, 4L, 12L, 12L, 10L, 12L, 4L, 12L, 
    4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 11L, 12L, 12L, 12L, 11L, 12L, 8L, 11L, 4L, 
    4L, 4L, 4L, 12L, 4L, 12L, 12L, 8L, 4L, 4L, 4L, 4L, 11L, 4L, 
    12L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 7L, 4L, 
    4L, 12L, 10L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 11L, 4L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 12L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 4L, 8L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 
    4L, 12L, 12L, 4L, 11L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 
    4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 10L, 10L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 11L, 12L, 4L, 
    4L, 2L, 2L, 12L, 12L, 4L, 4L, 11L, 4L, 11L, 4L, 4L, 4L, 4L, 
    11L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 12L, 2L, 4L, 4L, 4L, 
    4L, 5L, 12L, 4L, 4L, 5L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 
    12L, 12L, 6L, 4L, 12L, 12L, 4L, 4L, 5L, 4L, 4L, 4L, 12L, 
    4L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 2L, 11L, 
    12L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 12L, 4L, 10L, 12L, 4L, 11L, 4L, 12L, 4L, 
    4L, 12L, 4L, 4L, 11L, 12L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 
    12L, 4L, 12L, 11L, 4L, 4L, 9L, 4L, 12L, 4L, 2L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 12L, 
    8L, 12L, 4L, 7L, 12L, 12L, 4L, 9L, 12L, 4L, 12L, 4L, 4L, 
    12L, 4L, 10L, 4L, 5L, 4L, 12L, 4L, 12L, 12L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 6L, 4L, 12L, 4L, 4L, 9L, 12L, 4L, 4L, 
    11L, 4L, 4L, 9L, 4L, 11L, 4L, 4L, 4L, 12L, 11L, 4L, 4L, 12L, 
    4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 
    4L, 4L, 9L, 4L, 12L, 4L, 11L, 8L, 4L, 4L, 11L, 4L, 4L, 4L, 
    6L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 12L, 4L, 4L, 
    4L, 12L, 12L, 4L, 10L, 12L, 4L, 4L, 11L, 4L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 12L, 1L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 
    4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 4L, 
    4L, 4L, 12L, 9L, 4L, 4L, 4L, 4L, 9L, 11L, 10L, 4L, 4L, 4L, 
    4L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 
    4L, 2L, 10L, 4L, 4L, 4L, 12L, 9L, 12L, 9L, 4L, 4L, 4L, 4L, 
    4L, 4L, 12L, 4L, 10L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 
    4L, 11L, 4L, 12L, 4L, 11L, 12L, 4L, 4L, 11L, 12L, 4L, 10L, 
    4L, 4L, 4L, 11L, 4L, 11L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 8L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 7L, 6L, 4L, 4L, 4L, 
    4L, 7L, 4L, 4L, 4L, 4L, 11L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 
    4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 11L, 11L, 4L, 4L, 10L, 11L, 4L, 4L, 12L, 4L, 4L, 
    10L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 12L, 
    11L, 4L, 9L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 12L, 4L, 4L, 12L, 
    4L, 4L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 11L, 4L, 8L, 11L, 4L, 
    4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 2L, 4L, 4L, 11L, 4L, 4L, 4L, 10L, 4L, 4L, 4L, 
    4L, 4L, 8L, 4L, 4L, 11L, 12L, 9L, 12L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 11L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    2L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 11L, 4L, 11L, 
    4L, 8L, 10L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 12L, 2L, 11L, 4L, 4L, 11L, 9L, 11L, 12L, 6L, 
    4L, 10L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 11L, 12L, 4L, 4L, 4L, 4L, 9L, 4L, 12L, 
    4L, 12L, 4L, 4L, 4L, 12L, 11L, 6L, 4L, 10L, 12L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 11L, 4L, 
    12L, 4L, 4L, 4L, 11L, 4L, 9L, 4L, 12L, 12L, 12L, 4L, 12L, 
    4L, 4L, 12L, 4L, 4L, 11L, 7L, 4L, 9L, 4L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 9L, 10L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 3L, 4L, 
    9L, 7L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 7L, 12L, 4L, 
    2L, 9L, 1L, 4L, 10L, 4L, 11L, 4L, 12L, 10L, 4L, 12L, 12L, 
    4L, 12L, 4L, 12L, 12L, 4L, 11L, 11L, 4L, 4L, 9L, 12L, 12L, 
    4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 12L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 
    4L, 4L, 12L, 11L, 4L, 12L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    11L, 11L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 
    4L, 4L, 1L, 4L, 4L, 4L, 4L, 9L, 12L, 4L, 4L, 11L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 3L, 9L, 4L, 3L, 9L, 11L, 12L, 1L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 8L, 4L, 4L, 4L, 4L, 4L, 
    4L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 3L, 4L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    11L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 12L, 4L, 4L, 
    4L, 2L, 12L, 4L, 12L, 8L, 11L, 4L, 4L, 12L, 11L, 11L, 12L, 
    4L, 4L, 4L, 12L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 12L, 11L, 12L, 12L, 4L, 12L, 4L, 12L, 4L, 4L, 12L, 
    4L, 12L, 11L, 4L, 12L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 11L, 
    11L, 11L, 12L, 9L, 10L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 
    11L, 11L, 11L, 4L, 4L, 9L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 
    4L, 4L, 1L, 12L, 12L, 11L, 4L, 12L, 4L, 4L, 4L, 4L, 11L, 
    11L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 4L, 
    4L, 11L, 11L, 4L, 4L, 4L, 4L, 10L, 4L, 4L, 4L, 8L, 10L, 4L, 
    4L, 4L, 11L, 4L, 4L, 4L, 9L, 12L, 4L, 12L, 9L, 4L, 12L, 4L, 
    12L, 4L, 2L, 4L, 4L, 12L, 4L, 10L, 4L, 11L, 12L, 4L, 9L, 
    4L, 4L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 12L, 12L, 4L, 
    4L, 4L, 12L, 12L, 4L, 4L, 9L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 
    5L, 4L, 4L, 12L, 4L, 4L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 12L, 4L, 4L, 4L, 12L, 12L, 4L, 4L, 7L, 4L, 4L, 12L, 12L, 
    11L, 4L, 12L, 4L, 9L, 6L, 11L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 
    11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 12L), .Label = c("-", 
    "0", "1", "10", "2", "3",
"4", "5", "6", "7", "8",
"9"), class = "factor"),
    understanding_issue = structure(c(12L, 4L, 5L, 4L, 4L, 9L, 
    10L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 11L, 9L, 4L, 12L, 4L, 
    4L, 4L, 4L, 8L, 12L, 4L, 11L, 1L, 4L, 4L, 4L, 4L, 4L, 5L, 
    12L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 12L, 4L, 4L, 11L, 
    4L, 4L, 12L, 9L, 12L, 12L, 4L, 4L, 10L, 4L, 4L, 4L, 10L, 
    4L, 4L, 10L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 4L, 9L, 12L, 
    4L, 4L, 4L, 4L, 10L, 4L, 12L, 11L, 11L, 4L, 4L, 4L, 11L, 
    4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 12L, 
    12L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 12L, 4L, 1L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 2L, 4L, 
    1L, 11L, 2L, 11L, 12L, 4L, 4L, 4L, 10L, 9L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 9L, 1L, 12L, 
    12L, 12L, 7L, 11L, 4L, 4L, 1L, 11L, 4L, 9L, 11L, 11L, 4L, 
    4L, 4L, 12L, 4L, 4L, 11L, 11L, 4L, 4L, 4L, 10L, 12L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 12L, 10L, 4L, 4L, 4L, 4L, 10L, 4L, 
    4L, 12L, 4L, 4L, 4L, 11L, 2L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 
    4L, 11L, 11L, 12L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 11L, 
    9L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 6L, 12L, 10L, 
    4L, 7L, 11L, 11L, 10L, 11L, 12L, 4L, 4L, 4L, 4L, 11L, 11L, 
    12L, 4L, 12L, 11L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 11L, 4L, 
    12L, 4L, 4L, 11L, 10L, 4L, 7L, 4L, 11L, 4L, 4L, 4L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 12L, 1L, 
    4L, 4L, 12L, 4L, 11L, 4L, 12L, 4L, 4L, 9L, 9L, 4L, 4L, 4L, 
    4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 8L, 4L, 4L, 4L, 4L, 9L, 4L, 
    4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 11L, 4L, 4L, 12L, 2L, 4L, 4L, 4L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 1L, 12L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 12L, 4L, 9L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 12L, 4L, 1L, 1L, 4L, 4L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 11L, 4L, 4L, 4L, 6L, 4L, 4L, 4L, 4L, 4L, 12L, 
    1L, 4L, 9L, 4L, 4L, 11L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 
    11L, 2L, 4L, 4L, 11L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 5L, 10L, 4L, 10L, 4L, 10L, 4L, 11L, 4L, 1L, 11L, 11L, 
    2L, 11L, 11L, 4L, 4L, 4L, 4L, 3L, 11L, 4L, 9L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 10L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 11L, 1L, 4L, 4L, 11L, 12L, 4L, 4L, 4L, 
    12L, 4L, 12L, 1L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 
    11L, 4L, 4L, 10L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    9L, 10L, 12L, 4L, 12L, 4L, 11L, 4L, 4L, 10L, 4L, 4L, 4L, 
    4L, 4L, 10L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 12L, 
    4L, 12L, 4L, 4L, 1L, 4L, 11L, 4L, 4L, 4L, 6L, 4L, 12L, 12L, 
    4L, 11L, 4L, 3L, 4L, 11L, 11L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 
    11L, 8L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 6L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 8L, 4L, 4L, 4L, 11L, 10L, 4L, 4L, 12L, 
    11L, 4L, 8L, 7L, 12L, 4L, 4L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 4L, 3L, 10L, 4L, 12L, 4L, 2L, 4L, 4L, 
    4L, 12L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 11L, 11L, 11L, 4L, 
    12L, 4L, 12L, 11L, 11L, 11L, 4L, 12L, 4L, 4L, 3L, 4L, 4L, 
    4L, 4L, 4L, 9L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 
    11L, 12L, 12L, 11L, 11L, 9L, 10L, 4L, 4L, 4L, 4L, 12L, 4L, 
    4L, 10L, 8L, 4L, 4L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 12L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 4L, 4L, 12L, 5L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 12L, 1L, 
    11L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 11L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 12L, 4L, 
    7L, 4L, 12L, 12L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 12L, 4L, 4L, 
    4L, 4L, 4L, 9L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 12L, 4L, 11L, 11L, 4L, 4L, 4L, 2L, 2L, 10L, 12L, 
    4L, 4L, 11L, 4L, 11L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 7L, 
    4L, 11L, 4L, 4L, 12L, 2L, 4L, 4L, 4L, 4L, 6L, 1L, 4L, 4L, 
    5L, 12L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 12L, 11L, 11L, 4L, 
    10L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 9L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 9L, 2L, 11L, 11L, 12L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 12L, 4L, 11L, 4L, 12L, 4L, 4L, 12L, 4L, 4L, 12L, 
    4L, 4L, 4L, 12L, 4L, 4L, 9L, 4L, 4L, 12L, 4L, 10L, 4L, 4L, 
    4L, 9L, 12L, 4L, 4L, 2L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 
    4L, 4L, 1L, 4L, 4L, 4L, 4L, 4L, 12L, 7L, 11L, 4L, 9L, 12L, 
    12L, 4L, 9L, 12L, 4L, 4L, 12L, 1L, 4L, 4L, 11L, 4L, 7L, 4L, 
    4L, 4L, 12L, 12L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 
    4L, 4L, 4L, 9L, 12L, 4L, 4L, 11L, 4L, 4L, 9L, 4L, 12L, 4L, 
    4L, 4L, 12L, 10L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 12L, 4L, 11L, 
    9L, 4L, 4L, 12L, 11L, 4L, 12L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 
    11L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 12L, 4L, 10L, 11L, 
    4L, 4L, 12L, 4L, 4L, 12L, 12L, 4L, 4L, 4L, 4L, 12L, 1L, 1L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 1L, 
    4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 12L, 5L, 4L, 4L, 4L, 4L, 
    8L, 12L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 1L, 4L, 4L, 4L, 4L, 4L, 10L, 10L, 4L, 4L, 4L, 12L, 2L, 
    4L, 8L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 4L, 12L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 12L, 4L, 4L, 
    11L, 4L, 4L, 4L, 4L, 11L, 4L, 12L, 4L, 12L, 4L, 11L, 12L, 
    4L, 4L, 11L, 12L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 11L, 4L, 
    4L, 4L, 4L, 11L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 11L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 
    4L, 12L, 4L, 7L, 4L, 12L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 4L, 3L, 9L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 
    12L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 
    4L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 11L, 4L, 4L, 
    9L, 11L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 
    9L, 4L, 4L, 4L, 4L, 9L, 12L, 9L, 4L, 4L, 4L, 4L, 12L, 1L, 
    1L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 2L, 4L, 12L, 
    4L, 4L, 11L, 4L, 11L, 10L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 
    12L, 4L, 4L, 4L, 11L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 12L, 
    12L, 9L, 10L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 
    4L, 4L, 4L, 11L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 11L, 4L, 4L, 
    4L, 4L, 11L, 4L, 4L, 11L, 4L, 11L, 4L, 2L, 10L, 4L, 4L, 4L, 
    4L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 12L, 2L, 11L, 
    4L, 4L, 10L, 11L, 4L, 12L, 6L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 
    9L, 4L, 4L, 4L, 4L, 5L, 4L, 12L, 4L, 4L, 4L, 4L, 11L, 12L, 
    4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 12L, 
    6L, 4L, 11L, 12L, 4L, 4L, 4L, 5L, 4L, 4L, 1L, 4L, 4L, 4L, 
    4L, 4L, 4L, 11L, 3L, 4L, 11L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 
    4L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 11L, 4L, 2L, 4L, 
    11L, 12L, 4L, 4L, 4L, 4L, 4L, 11L, 4L, 4L, 9L, 10L, 4L, 9L, 
    4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 9L, 10L, 4L, 12L, 4L, 1L, 
    9L, 4L, 4L, 9L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 
    4L, 4L, 10L, 4L, 4L, 2L, 7L, 1L, 4L, 12L, 4L, 11L, 4L, 12L, 
    9L, 4L, 11L, 12L, 4L, 4L, 4L, 12L, 11L, 4L, 11L, 11L, 4L, 
    11L, 2L, 12L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 12L, 
    11L, 4L, 4L, 4L, 4L, 11L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 12L, 12L, 4L, 11L, 4L, 12L, 
    4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 12L, 
    4L, 4L, 12L, 9L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 10L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 11L, 9L, 4L, 10L, 7L, 11L, 
    12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 4L, 
    4L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 12L, 4L, 1L, 9L, 
    4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 11L, 
    4L, 4L, 11L, 4L, 4L, 10L, 4L, 10L, 4L, 4L, 4L, 12L, 4L, 12L, 
    4L, 12L, 4L, 12L, 4L, 2L, 4L, 4L, 4L, 10L, 11L, 4L, 4L, 10L, 
    11L, 12L, 12L, 4L, 4L, 4L, 4L, 4L, 9L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 
    4L, 4L, 12L, 4L, 4L, 4L, 12L, 10L, 12L, 11L, 4L, 12L, 4L, 
    12L, 4L, 4L, 4L, 4L, 12L, 12L, 4L, 4L, 11L, 4L, 4L, 12L, 
    4L, 4L, 4L, 12L, 11L, 11L, 5L, 9L, 11L, 4L, 4L, 4L, 4L, 4L, 
    12L, 4L, 4L, 1L, 11L, 11L, 4L, 4L, 4L, 12L, 4L, 12L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 1L, 12L, 12L, 12L, 4L, 11L, 4L, 4L, 4L, 
    4L, 11L, 11L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 12L, 4L, 12L, 
    4L, 4L, 4L, 4L, 12L, 11L, 4L, 4L, 4L, 4L, 7L, 4L, 4L, 4L, 
    9L, 10L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 2L, 4L, 4L, 12L, 4L, 
    4L, 12L, 4L, 12L, 4L, 2L, 4L, 4L, 4L, 4L, 12L, 4L, 12L, 12L, 
    4L, 12L, 4L, 4L, 4L, 4L, 4L, 12L, 4L, 4L, 4L, 4L, 4L, 11L, 
    12L, 4L, 4L, 4L, 12L, 12L, 12L, 4L, 7L, 4L, 9L, 4L, 12L, 
    4L, 4L, 12L, 6L, 4L, 12L, 12L, 4L, 4L, 3L, 4L, 4L, 4L, 12L, 
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case_age = c(24.84, 0.05,
    13.38, 0.15, 11.11, 4.16, 8.13, 0.07, 3.61, 0, 3.11, 20.94, 
    0.21, 17.49, 1.11, 6.15, 4.32, 4.03, 0.08, 3.06, 4.74, 12.07, 
    4.79, 5.29, 0.21, 0.06, 3.95, 0.12, 7.27, 4.18, 2.49, 20.95, 
    0.15, 10.96, 6.99, 47.42, 4.96, 0.06, 4.92, 0.06, 6.84, 0.3, 
    0.01, 0.07, 15.74, 5.8, 2.85, 0.17, 16.02, 1.33, 7.91, 5.95, 
    1.48, 14.7, 1.98, 0.07, 12.89, 0.09, 0.11, 6.96, 0.19, 6.23, 
    5.62, 6.81, 6.98, 0.03, 0.12, 9.21, 0.8, 8.93, 1.87, 6.01, 
    0.34, 28.06, 16.36, 0.74, 5.82, 2.23, 0.18, 1.21, 0.06, 22.21, 
    1.97, 0.88, 0.21, 0.86, 6.02, 8.9, 1.75, 0.1, 1.15, 0.01, 
    0.17, 0.03, 7.99, 0.08, 0.05, 2.92, 1.02, 0.1, 0.86, 18.07, 
    0.06, 10.22, 1.1, 1.25, 0.03, 0.03, 0.96, 0.88, 0.96, 16.42, 
    1.06, 10.11, 0.97, 0.02, 0.12, 2.12, 7.29, 0.06, 0.27, 10.01, 
    1.96, 0.27, 0.04, 2.1, 9.34, 2.05, 22.29, 0, 6.98, 9.17, 
    15.55, 31.06, 0.06, 2.96, 11.04, 0.14, 17.36, 24.16, 41.89, 
    0.07, 0.01, 0.09, 5.1, 3.26, 1.85, 19.09, 10.88, 3.05, 0.87, 
    0.01, 2.78, 26.05, 14.23, 19.27, 0.09, 4.16, 3.77, 1.84, 
    11.06, 12.54, 3.26, 0.19, 0.15, 3.89, 19.85, 0.04, 13.18, 
    2.05, 0.89, 1.04, 0.09, 20.2, 0.82, 0.94, 4.99, 4.15, 0.04, 
    5.84, 15.75, 0.78, 1.92, 4.28, 6.08, 0.15, 83.05, 13.9, 2.75, 
    2.05, 0.02, 4.14, 6.72, 11.12, 1.82, 0.79, 0.12, 7.91, 0.16, 
    2.07, 2.1, 0.09, 0.14, 2.04, 2.22, 1.01, 0.06, 1.07, 1.98, 
    2.42, 6.39, 0.52, 6.93, 1.28, 2.02, 3.74, 34.86, 0.01, 7.15, 
    2.97, 1.15, 0.17, 0.18, 7.25, 2.98, 1.11, 85.99, 2.34, 0.67, 
    45.13, 1.03, 0.04, 0.13, 9.87, 7.03, 4.29, 0.1, 0.04, 0.07, 
    8.26, 0.2, 1.21, 1.81, 0.12, 1.12, 20.28, 0.05, 18.29, 2.78, 
    15.36, 4, 6.12, 0.04, 9.14, 0, 7.1, 19.07, 4.04, 3.9, 4.01, 
    11.22, 0, 0.09, 2.1, 3.05, 3.86, 15.21, 0.54, 0.01, 31.19, 
    2.17, 4.07, 20.07, 3.17, 14.38, 0.27, 13.89, 3.29, 2.82, 
    0.01, 2.58, 5.15, 9.85, 1.06, 14.24, 3.05, 5.96, 0.05, 0.01, 
    0.04, 0.07, 0.16, 49.02, 10.89, 4.91, 0.02, 5.31, 0.01, 0.02, 
    0.04, 3.99, 1.02, 6.18, 1.15, 6.18, 27.18, 5.16, 3.29, 3.97, 
    4.79, 0, 19.92, 0, 18.3, 11.01, 0.01, 4.09, 6.44, 10.98, 
    13.02, 0.1, 2.04, 1.3, 7.22, 1.82, 7.02, 0.91, 0.31, 0.95, 
    0.01, 12.09, 0.04, 0.84, 0.91, 28.75, 0.99, 1.12, 0.22, 5.12, 
    26.98, 1.01, 1.27, 1.29, 7.16, 0.07, 0.05, 1.01, 2.35, 0.17, 
    0.4, 0.89, 2.26, 6.1, 0.89, 1.16, 0.07, 5.69, 9.1, 1.88, 
    0.03, 15.21, 1.76, 14.14, 15.33, 1.02, 13.18, 0.09, 19.76, 
    1.99, 8.79, 2.81, 0.73, 0.24, 22.85, 0.12, 0.2, 0.18, 0.84, 
    20.92, 15.8, 0.04, 21.58, 0.04, 1.06, 1.06, 15.76, 9.29, 
    16.2, 0.09, 2.81, 10.82, 0.02, 41.96, 1.17, 0.35, 1.99, 4.93, 
    0.14, 0.95, 16.02, 4.05, 0.09, 0.02, 2.05, 2.02, 3.01, 0.02, 
    8.05, 0.17, 3.08, 0.99, 0.91, 1.31, 7.13, 1.05, 9.14, 36.25, 
    3.92, 3, 2.02, 11.14, 17.04, 1.08, 5.85, 4.27, 29.07, 25.07, 
    2.74, 24.28, 15.11, 0.85, 0.97, 38.02, 0.08, 102.44, 19.36, 
    3.77, 3.32, 0.04, 3.01, 3.86, 8.27, 7.11, 11.95, 1.21, 3.33, 
    0.15, 0, 4.68, 4.16, 12.94, 0.79, 7.81, 5.82, 6.29, 0.96, 
    13.75, 0.89, 0.97, 35.83, 1.03, 9.24, 0.08, 41.18, 0.79, 
    0.07, 1.19, 6.96, 6.9, 3.25, 2.28, 8.81, 1.21, 0.04, 5.94, 
    0.04, 3.95, 3.72, 1.72, 3.73, 0.12, 8.52, 41.09, 0.74, 0.02, 
    15.16, 2.03, 0.03, 4.1, 4.3, 0.01, 2.05, 0.02, 154.08, 6.11, 
    1.04, 1.01, 0.17, 2.43, 8.18, 77.15, 0.09, 4.97, 6.04, 44.74, 
    0.08, 6.94, 2.39, 2.11, 1.13, 5.33, 4.88, 2.78, 8.07, 1.63, 
    0, 0.18, 24.09, 0.04, 1.08, 7.91, 2.11, 1.32, 6.86, 8.04, 
    1.12, 21.89, 1.22, 18.03, 0.98, 1.8, 9.34, 8.25, 2.87, 0.03, 
    6.12, 27.89, 1.78, 3.82, 0, 21.36, 5.86, 0.01, 0.01, 0.02, 
    0.07, 38.29, 89.9, 4.99, 4, 6.14, 0.02, 0, 6.06, 5.44, 0.01, 
    0.07, 0.03, 27.24, 0, 4.22, 0.04, 5.98, 0.02, 10.12, 95.08, 
    0.11, 0.17, 0.08, 12.87, 6.31, 10.89, 0.25, 0, 1.08, 0.26, 
    0, 61.47, 0.21, 3.92, 6.18, 11.4, 11.27, 0.97, 0.08, 1.17, 
    7.73, 7.02, 0.08, 1.43, 0.26, 1.14, 21.26, 0.01, 0.3, 1.22, 
    0.01, 7.24, 7.4, 0.07, 1.86, 15.29, 5.43, 1.05, 4.2, 0.04, 
    6.12, 6.96, 0.05, 0.01, 78.46, 25.93, 1.8, 0.04, 1.58, 8.24, 
    22.1, 6.67, 43.13, 2.77, 4.29, 23.01, 3.05, 0.17, 70.22, 
    23.22, 0.07, 2.07, 1.89, 13.61, 21.64, 3.74, 0.18, 18.29, 
    12.23, 8.09, 7.01, 0.92, 8.86, 9.15, 15.14, 8.16, 1.27, 0.85, 
    0.06, 0.24, 2.11, 5.3, 78.17, 1.81, 0.13, 0.37, 0.01, 20.66, 
    49.08, 3.73, 2.77, 0.32, 0.12, 36.77, 0.03, 21.49, 5.65, 
    4.74, 26.99, 0.04, 12.56, 2.25, 4.24, 1.87, 5.32, 49.12, 
    1.99, 3.98, 1.16, 0.16, 5.02, 0.1, 2.92, 34.15, 57.01, 0.29, 
    0.84, 0, 0.82, 15.27, 0.01, 5.09, 205.09, 12.02, 5.94, 0.05, 
    3.01, 2.23, 0.19, 4.97, 4.89, 0.75, 6.18, 0.88, 26.17, 7.43, 
    32.88, 1.67, 10.28, 1.08, 0.23, 11.5, 0, 4.81, 1.83, 33.09, 
    0.33, 8.75, 1.97, 0.08, 1.03, 33.74, 0.03, 4.61, 40.9, 14.69, 
    5.26, 4.72, 5.68, 0.24, 1.31, 5.86, 0.16, 0.13, 0.95, 2.23, 
    1.22, 13.94, 5.31, 0.1, 2.14, 0.16, 0.16, 5.14, 2.82, 0, 
    0.15, 7.9, 0.19, 1.12, 0.02, 22.05, 0.05, 2.12, 0, 0.31, 
    0.05, 2.84, 0.9, 5.08, 15.07, 2.21, 0.1, 0.01, 19.88, 0.02, 
    13, 20.92, 2.02, 1.15, 6.37, 0.83, 3.1, 0.85, 1.22, 0.87, 
    1.95, 7.21, 0.12, 0.11, 8.15, 0.01, 6.11, 3.01, 3.61, 0.01, 
    0.13, 0.03, 3.1, 0.08, 1, 46.36, 0.29, 21.17, 1.84, 1.01, 
    29.89, 0.98, 2.18, 0.13, 17, 3.33, 0.02, 1.01, 1.03, 0.91, 
    4.02, 0.78, 0, 8.24, 0.13, 0.05, 2.17, 1.02, 2.07, 0.07, 
    0.15, 1.36, 8.01, 1.8, 0.01, 7.13, 0, 3.9, 3.71, 3.75, 4.98, 
    36.27, 6.96, 2.88, 0.14, 4.07, 3.74, 6.4, 9.15, 8.53, 67, 
    16.3, 29.12, 10.39, 15.83, 0.35, 0.33, 28.21, 0.05, 0.01, 
    54.93, 0.17, 4.04, 3.03, 0.02, 12.07, 10.4, 0.05, 6.26, 5.75, 
    4.86, 15, 40.39, 20.11, 0.03, 0.95, 17.69, 2.43, 10.4, 3.82, 
    26.37, 5.36, 0, 0.12, 19.32, 5.25, 0.05, 0.01, 0.12, 7.01, 
    1.01, 3.87, 4.05, 5.86, 1.25, 7.22, 1.11, 0.69, 8.94, 13.89, 
    0.07, 1.05, 1.22, 0.07, 0.02, 12.85, 0.04, 12.03, 8.84, 0.99, 
    0.02, 0.14, 0.01, 5.04, 1.23, 27.99, 8.97, 24.05, 113.85, 
    20.15, 10.06, 1.15, 0.05, 12.79, 10.04, 0.1, 2.19, 0.01, 
    0.01, 18.23, 1.94, 0.31, 0.03, 7.83, 0.09, 3.41, 1.16, 0.12, 
    2.16, 2.99, 13.87, 1.15, 1, 0.96, 3.08, 6.13, 1.05, 0.06, 
    0.23, 0.07, 0.89, 1.94, 0.04, 1.01, 19.78, 1.9, 1.01, 7.11, 
    0.02, 0, 0.03, 0.07, 0.06, 8.01, 3.44, 16.77, 1.76, 1.06, 
    13.07, 1.01, 52.08, 1.02, 0.27, 0.04, 0.85, 4.15, 0.01, 0.1, 
    0.02, 10.14, 5.88, 0.01, 4.22, 53.82, 4.96, 0.1, 14.1, 0.05, 
    0.07, 32.79, 0.03, 1.4, 7.01, 15.21, 18.44, 0.07, 9.02, 6.9, 
    25.62, 2.58, 5.93, 15.02, 0.01, 16.89, 4.96, 10.14, 7.11, 
    0.11, 2.7, 4.07, 1.09, 0.06, 0.25, 0.88, 21.88, 0, 0.04, 
    23.18, 14.93, 17.38, 0.12, 17.95, 66.21, 2.8, 4.99, 0, 0.12, 
    0.03, 1.41, 3.36, 1.46, 3, 0.05, 3.79, 1.24, 0.1, 1.19, 4.97, 
    0.11, 11.93, 0.1, 1.1, 0.29, 0.02, 0.07, 1.2, 0.02, 64.81, 
    0.13, 14.53, 0.09, 0.04, 2, 1.18, 0.06, 1.01, 1.17, 0.03, 
    0.01, 0.05, 9.29, 1.84, 1.97, 159.11, 0.02, 13.81, 0.01, 
    15.03, 16.1, 0.02, 0.97, 0.06, 0.05, 12.97, 7.95, 10.86, 
    0, 205.09, 4.93, 2.36, 15.08, 19.17, 0.02, 14.32, 0.17, 0.59, 
    13.14, 4.93, 6.19, 0.28, 6.29, 0.14, 0.08, 0.77, 0, 0.05, 
    0.22, 7.83, 0.01, 12.23, 0.08, 1.13, 0.08, 0.06, 0.82, 0.13, 
    5.94, 0.24, 0.45, 0.03, 0.86, 0.02, 0.15, 1.46, 83.05, 0.81, 
    0.06, 0.07, 20.11, 0.05, 125.08, 2.01, 0.15, 0.07, 0.59, 
    1.1, 27.35, 18.75, 0.26, 0.03, 0.79, 1.94, 12.95, 2.12, 0.06, 
    0.9, 0.95, 0.04, 20.2, 0.13, 42.57, 0.09, 30.17, 0, 0.01, 
    0.18, 2.77, 0.01, 0.02, 50.26, 0.43, 0.25, 39.14, 6.41, 0.12, 
    26.87, 0, 9.21, 21.3, 50.29, 15.4, 0.1, 1, 0, 0.01, 0.16, 
    0.13, 31.76, 0.04, 28.03, 0.17, 5.08, 7.06, 0.18, 19.35, 
    1.52, 0.88, 0, 12.02, 0, 10.69, 19.06, 0.02, 20.19, 13.7, 
    16.96, 14, 0.89, 0.12, 27.98, 8.27, 0.06, 0.2, 6.04, 1.06, 
    0.3, 0.33, 13.04, 99.27, 0.13, 0.06, 26.15, 5.29, 0.23, 0.15, 
    2.04, 0, 0.84, 20.12, 2.04, 7.01, 2.07, 0.03, 0.05, 13.97, 
    0.22, 0.02, 9.74, 22.18, 0.95, 0.78, 0.89, 4.47, 1.06, 0.92, 
    0.07, 0.08, 0.05, 2.1, 1.99, 28.13, 0.09, 1.89, 0.03, 0.03, 
    50.89, 0.61, 0, 0.14, 2.02, 0.02, 9.84, 1, 0.04, 1.8, 7.84, 
    1.39, 13.71, 0.93, 0.05, 2.08, 1.02, 0.02, 1.85, 37.04, 17.15, 
    28.25, 0.1, 26.03, 20.77, 0.1, 0.09, 38.07, 0.02, 2.12, 0.7, 
    14.24, 8.89, 84.15, 0.77, 1.05, 0.15, 0.05, 2.14, 2.26, 0.06, 
    1, 0.1, 0.19, 17.1, 36.1, 4.04, 0.1, 0.17, 10.97, 2.32, 3.36, 
    146.99, 0.14, 21.86, 1.15, 0.06, 2.02, 2.95, 0.84, 28.28, 
    0.03, 0.15, 0.02, 4.17, 29.98, 0.64, 1.04, 5.8, 0.03, 0, 
    4.01, 21.03, 2.95, 6.3, 3.13, 17.2, 3.14, 0.02, 0.04, 0.17, 
    0.05, 3.98, 1.23, 0.13, 4.81, 0, 0.17, 3.25, 15.83, 3.96, 
    3.29, 14.35, 0, 0.06, 6.37, 3.26, 20.88, 1.02, 4.8, 0.91, 
    0.05, 0.95, 0.01, 6.13, 1.04, 0.08, 26.77, 4.11, 0.24, 0.01, 
    1.21, 14.11, 1.1, 0.93, 1.11, 0.9, 5.12, 31.12, 0.01, 5.09, 
    15.19, 28.27, 4.49, 7.84, 7.19, 1.1, 0.09, 0, 0.02, 1.06, 
    0.02, 1.06, 0.03, 2.15, 0.03, 1.12, 0.06, 1.04, 57.98, 7.98, 
    0.07, 3.66, 0, 0.01, 1.03, 1.79, 8.78, 0.09, 1.8, 0.16, 0.02, 
    0.14, 0.22, 0, 0.97, 8.8, 1.1, 1.11, 2.12, 1.28, 1.04, 1.13, 
    1.1, 1.08, 10.96, 1.1, 0.02, 2.66, 3.07, 1.79, 0.84, 0.09, 
    17.9, 1.86, 1.02, 11.05, 0.15, 4.2, 2.24, 0.3, 15.93, 8.18, 
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    4.74, 7.04, 6.1, 5.1, 7.31, 42.93, 1.19, 0.17, 4.26, 0.83, 
    25.89, 0.04, 0.82, 0.01, 4.98, 7.98, 0.1, 1.28, 0.16, 0.79, 
    4.75, 3.92, 2.08, 0.57, 7.91, 1.09, 0, 0.89, 1.19, 1.22, 
    0.68, 2.11, 1.81, 0.09, 11.87, 0.02, 0.92, 29.11, 6.05, 0.87, 
    2.06, 13.07, 12.13, 4.96, 49.13, 0.05, 12.55, 0.13, 0.13, 
    0.11, 1.01, 6, 1.03, 2.08, 0.01, 2.17, 0.11, 1.28, 9.02, 
    12.82, 0.19, 12.28, 34.37, 1.18, 1.57, 8.85, 2, 0.97, 0.74, 
    0.06, 8.88, 14.23, 1.5, 14.12, 0.05, 0.82, 1.92, 1.76, 0.77, 
    0.11, 12.26, 0.95, 0.93, 0.74, 9.57, 0.01, 7.06, 7.18, 2.96, 
    2.88, 6.17, 0.01, 14.69, 3.03, 1.04, 1.26, 2.02, 8.83, 0.03, 
    17, 4.08, 0.09, 2.98, 0.22, 14.82, 2.84, 1.02, 1.93, 17.18, 
    0.01, 0.09, 0.97, 14.06, 3.23, 16.07, 8.24, 3.13, 7.32, 0.02, 
    0.56, 105.51, 4.73, 0.02, 5.17, 3.97, 5.94, 4.01, 6.83, 2.6, 
    0.16, 4.29, 2.93, 93.53, 30.24, 2.27, 0.02, 0, 16.04, 4.99, 
    0.13, 6.01, 1.33, 6.97, 4.09, 1.11, 0.17, 48.05, 21.09, 10.93, 
    2.93, 3.68, 4.19, 4.25, 8.1, 0.88, 2.25, 19.76, 0.05, 6.91, 
    0.85, 13.31, 0.04, 60.28, 0.04, 4.34, 0.05, 0.09, 4.99, 0.03, 
    7.71, 0.31, 6.33, 0.97, 0.03, 55.03, 14.1, 2.22, 5.02, 0.89, 
    4.98, 0.04, 0.17, 0.12, 0.23, 13.95, 1.05, 40.94, 1.93, 0.07, 
    0.15, 0.92, 6.21, 37.76, 0.05, 0, 13.22, 17.28, 2, 39.14, 
    7.26, 0.01, 0.82, 2.08, 15.96, 0.09, 2.01, 0.04, 0, 0.02, 
    0.94, 3.88, 37.32, 0.11, 3.34, 0.18, 0.05, 3.11, 0.08, 1.84, 
    0.06, 11.04, 8, 0.32, 18.18, 18, 0.04, 1.05, 0.26, 0.9, 3.17, 
    77.15, 4.06, 2.89, 5.23, 1.74, 12.3, 2.81, 0.17, 0.04, 15.16, 
    25.04, 0, 4.02, 18.94, 6.91, 9.98, 8.29, 19.83, 18.17, 3.57, 
    9.47, 18.6, 1.2, 0.07, 3.32, 0.03, 3.78, 0.06, 9.83, 0.15, 
    2.96, 10.06, 2.2, 4.23, 7.24, 12.9, 0.04, 20.93, 10.25, 1.13, 
    0.73, 4.98, 31.28, 4.03, 1.02, 17.29, 8.91, 25.07, 1.03, 
    24.33, 8.31, 34.02, 40.03, 0.86, 0.86, 0.02, 6.21, 0.99, 
    1.29, 2.03, 5.12, 0.12, 6.85, 1.92, 7.03, 0.03, 0, 1.98, 
    0.82, 0.71, 48.98, 0.07, 5.24, 0.16, 1.09, 1.15, 53.73, 0.05, 
    0.11, 1.82, 0.2, 43.04, 0.94, 0.06, 4.89, 4.1, 22.9, 16.91, 
    8.65, 8.71, 1.33, 6.76, 0.02, 0.18, 7.31, 0.22, 2.73, 0.86, 
    0.05, 2.01, 21.23, 0.22, 2.13, 0.08, 0.81, 0.8, 0.12, 1.02, 
    1, 0.04, 0.09, 1.98, 0.05, 2.13, 0.2, 3.32, 7.95, 0.25, 1.81, 
    15.31, 0.21, 2.12, 0.71, 8.12, 1.89, 0.99, 2.01, 17.28, 8.81, 
    1.28, 1.7, 0.22, 6.83, 0, 0.28, 0.08, 4.21, 18.07, 0.11, 
    7.1, 2.13, 0.02, 2.04, 22.03, 4.22, 0.43, 14.87, 0.01, 0.24, 
    2.95, 0.18, 0.12, 10.27, 8.4, 9.99, 3.9, 0.08, 3.24, 4.08, 
    0.07, 17.2, 0.12, 6.01, 4.02, 0.06, 13.32, 3.61, 0.12, 0.25, 
    18.78, 0.06, 4.25, 1, 0.05, 0.06, 0.89, 0.04, 1.83, 0.24, 
    0.02, 0.06, 0.07, 0.03, 0.87, 10.87, 4.19, 0.03, 1.14, 5.21, 
    0.18, 7.13, 4.93, 0.04, 4.92, 1.3, 4.98, 0.1, 7.12, 0.83, 
    2.27, 0.22, 0.01, 7.08, 11.31, 12.05, 6.86, 0.08, 0.68, 0, 
    8.23, 2.23, 0.09, 13.17, 1.04, 0.01, 1.01, 2.39, 0.91, 0.08, 
    5.06, 23.23, 0.06, 0.01, 0.04, 8.38, 0.18, 70.22, 22.05, 
    0.03, 0.08, 54.6, 11.23, 0.01, 1.01, 0.02, 31.07, 0.03, 2.18, 
    0.06, 33.81, 0.07, 0.05, 7.16, 0.13, 1.89, 6.01, 1.03, 2.78, 
    1.91, 0.01, 1.02, 1.35, 2.17, 0.26, 21.07, 0.01, 1.18, 9.06, 
    1.88, 1.89, 0.25, 0.86, 0.06, 0.05, 37.94, 10.97, 21.06, 
    2.07, 5.26, 1.23, 0.05, 10.01, 0.98, 4.05, 0.39, 1.17, 2.26, 
    3.18, 30.22, 0.52, 9.2, 17.05, 0.09, 0.14, 3.08, 1.97, 0.14, 
    9.69, 22.38, 5.08, 2.98, 0.03, 0.02, 4.27, 16.94, 0.1, 3.2, 
    18.94, 0.14, 2.49, 1.04, 0.33, 4.84, 0.06, 10.23, 0.14, 3.69, 
    5.95, 0.09, 0.02, 0.25, 17.12, 0.94, 0.09, 0, 0.18, 0.83, 
    4.05, 0.18, 0.05, 13.2, 14.01, 5.95, 0.96, 0, 1.17, 14.22, 
    0.98, 21.14, 0.14, 6.1, 4.62, 6.1, 0.06, 0.96, 6.66, 1.72, 
    0.05, 22.12, 1.43), severity_level = structure(c(1L, 1L, 
    4L, 2L, 1L, 4L, 4L, 1L, 1L, 1L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 
    2L, 4L, 1L, 2L, 2L, 4L, 2L, 1L, 2L, 4L, 1L, 4L, 1L, 4L, 2L, 
    1L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 
    2L, 2L, 2L, 2L, 4L, 2L, 4L, 1L, 2L, 2L, 2L, 4L, 1L, 2L, 4L, 
    2L, 1L, 4L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 4L, 2L, 
    2L, 2L, 2L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 2L, 1L, 2L, 2L, 1L, 
    4L, 2L, 2L, 4L, 4L, 2L, 2L, 1L, 2L, 4L, 2L, 1L, 2L, 4L, 2L, 
    4L, 4L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 
    2L, 4L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 4L, 4L, 1L, 
    4L, 4L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 4L, 
    4L, 2L, 2L, 2L, 4L, 4L, 2L, 1L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 
    4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 4L, 1L, 1L, 2L, 2L, 
    2L, 4L, 2L, 1L, 2L, 2L, 1L, 4L, 4L, 2L, 1L, 4L, 2L, 4L, 4L, 
    2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 4L, 
    2L, 4L, 4L, 1L, 2L, 1L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 4L, 
    2L, 2L, 4L, 4L, 1L, 2L, 4L, 4L, 2L, 1L, 2L, 2L, 2L, 4L, 4L, 
    4L, 1L, 1L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 4L, 1L, 4L, 1L, 2L, 4L, 2L, 1L, 1L, 2L, 
    2L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
    2L, 2L, 2L, 1L, 2L, 1L, 4L, 4L, 2L, 1L, 2L, 4L, 2L, 2L, 1L, 
    2L, 1L, 4L, 4L, 1L, 4L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 
    1L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 4L, 
    2L, 1L, 1L, 2L, 1L, 4L, 1L, 4L, 1L, 2L, 2L, 4L, 2L, 2L, 4L, 
    2L, 1L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 2L, 4L, 1L, 2L, 
    2L, 2L, 4L, 1L, 2L, 2L, 1L, 4L, 1L, 4L, 2L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 
    1L, 4L, 2L, 2L, 1L, 4L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 4L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 1L, 2L, 4L, 1L, 
    2L, 1L, 2L, 4L, 1L, 2L, 1L, 4L, 2L, 4L, 2L, 2L, 2L, 4L, 4L, 
    2L, 4L, 1L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 2L, 1L, 1L, 2L, 4L, 
    2L, 1L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 1L, 4L, 2L, 2L, 
    1L, 4L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 2L, 
    2L, 4L, 2L, 2L, 4L, 4L, 4L, 2L, 2L, 4L, 2L, 1L, 1L, 2L, 2L, 
    1L, 1L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 4L, 4L, 2L, 2L, 1L, 1L, 
    2L, 4L, 1L, 2L, 1L, 2L, 1L, 1L, 4L, 4L, 2L, 1L, 2L, 2L, 1L, 
    2L, 4L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 4L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 4L, 4L, 2L, 
    2L, 1L, 2L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 4L, 4L, 2L, 2L, 4L, 
    4L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 4L, 1L, 1L, 
    2L, 1L, 1L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 2L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 
    2L, 4L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 
    4L, 1L, 4L, 4L, 4L, 2L, 4L, 4L, 1L, 4L, 2L, 1L, 1L, 4L, 4L, 
    4L, 2L, 2L, 4L, 4L, 2L, 2L, 1L, 4L, 4L, 4L, 2L, 1L, 4L, 1L, 
    1L, 2L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 4L, 
    4L, 2L, 4L, 2L, 2L, 1L, 2L, 4L, 4L, 2L, 1L, 4L, 2L, 2L, 1L, 
    2L, 1L, 4L, 1L, 1L, 1L, 4L, 4L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 
    4L, 2L, 2L, 2L, 4L, 2L, 4L, 2L, 2L, 1L, 2L, 1L, 4L, 1L, 1L, 
    2L, 2L, 4L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 4L, 2L, 1L, 2L, 
    2L, 1L, 1L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 4L, 1L, 1L, 
    2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 1L, 4L, 4L, 4L, 2L, 2L, 1L, 
    2L, 2L, 1L, 4L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 2L, 2L, 
    1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
    1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L, 1L, 2L, 1L, 4L, 4L, 2L, 2L, 
    2L, 4L, 4L, 1L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 
    1L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 
    4L, 2L, 1L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 
    4L, 2L, 2L, 1L, 1L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 1L, 4L, 2L, 
    4L, 4L, 2L, 1L, 2L, 2L, 1L, 4L, 2L, 2L, 1L, 2L, 2L, 4L, 1L, 
    2L, 2L, 2L, 4L, 1L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 4L, 4L, 
    1L, 2L, 1L, 1L, 4L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 4L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 2L, 4L, 4L, 2L, 2L, 
    2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 
    2L, 4L, 1L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 4L, 2L, 
    2L, 2L, 1L, 4L, 2L, 1L, 4L, 2L, 2L, 1L, 4L, 1L, 4L, 1L, 4L, 
    1L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 
    2L, 2L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 1L, 
    4L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 4L, 4L, 1L, 2L, 
    2L, 2L, 1L, 2L, 2L, 4L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 4L, 2L, 2L, 4L, 
    1L, 2L, 2L, 1L, 1L, 2L, 1L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 
    2L, 4L, 2L, 4L, 1L, 4L, 1L, 4L, 2L, 2L, 1L, 4L, 1L, 1L, 4L, 
    1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 
    2L, 4L, 1L, 1L, 4L, 1L, 4L, 4L, 4L, 2L, 1L, 2L, 4L, 1L, 2L, 
    4L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 1L, 
    2L, 2L, 4L, 1L, 2L, 1L, 1L, 2L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 
    1L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 4L, 
    2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 4L, 2L, 1L, 4L, 
    2L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 
    1L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 4L, 2L, 4L, 2L, 2L, 
    2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 4L, 4L, 2L, 2L, 1L, 2L, 1L, 
    2L, 1L, 2L, 2L, 4L, 1L, 2L, 1L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 
    1L, 4L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 
    4L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 
    4L, 4L, 1L, 2L, 1L, 2L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 4L, 
    1L, 2L, 4L, 2L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 
    2L, 2L, 4L, 2L, 4L, 4L, 2L, 1L, 1L, 4L, 2L, 2L, 1L, 2L, 1L, 
    2L, 4L, 2L, 1L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 2L, 2L, 1L, 1L, 
    4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 4L, 4L, 4L, 2L, 4L, 
    1L, 2L, 2L, 1L, 4L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 
    2L, 4L, 1L, 4L, 1L, 4L, 2L, 1L, 4L, 4L, 1L, 4L, 2L, 2L, 2L, 
    2L, 1L, 4L, 2L, 4L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 1L, 2L, 2L, 
    2L, 2L, 4L, 1L, 1L, 1L, 4L, 1L, 2L, 4L, 1L, 2L, 2L, 1L, 1L, 
    2L, 4L, 4L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 
    4L, 2L, 1L, 2L, 2L, 1L, 1L, 4L, 1L, 4L, 2L, 1L, 1L, 2L, 2L, 
    1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 2L, 1L, 
    2L, 2L, 1L, 2L, 2L, 1L, 1L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 
    1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 
    4L, 1L, 4L, 1L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    1L, 2L, 2L, 2L, 1L, 4L, 2L, 1L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 
    2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 4L, 1L, 2L, 1L, 2L, 4L, 2L, 
    1L, 4L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 
    2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 1L, 4L, 
    4L, 2L, 2L, 1L, 2L, 2L, 4L, 4L, 2L, 1L, 4L, 2L, 2L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 4L, 4L, 4L, 2L, 2L, 2L, 1L, 4L, 4L, 2L, 
    4L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 
    2L, 2L, 4L, 2L, 2L, 4L, 4L, 2L, 1L, 1L, 2L, 4L, 4L, 2L, 4L, 
    4L, 2L, 1L, 4L, 4L, 4L, 4L, 2L, 4L, 1L, 2L, 2L, 4L, 4L, 2L, 
    1L, 2L, 4L, 2L, 4L, 1L, 2L, 4L, 1L, 2L, 1L, 2L, 2L, 4L, 2L, 
    2L, 2L, 4L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 1L, 4L, 1L, 4L, 2L, 
    4L, 2L, 4L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 2L, 2L, 
    4L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 4L, 1L, 
    2L, 2L, 2L, 4L, 4L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    4L, 2L, 1L, 2L, 4L, 4L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 2L, 4L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 4L, 2L, 2L, 2L, 
    2L, 1L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 4L, 
    4L, 2L, 4L, 2L, 2L, 4L, 4L, 2L, 2L, 1L, 4L, 1L, 2L, 1L, 2L, 
    4L, 2L, 2L, 4L, 1L, 1L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 4L, 1L, 2L, 1L, 4L, 1L, 
    1L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 4L, 1L, 
    2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 1L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 2L, 1L, 2L, 
    1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 4L, 2L, 4L, 2L, 
    4L, 4L, 4L, 2L, 2L, 4L, 1L, 4L, 4L, 1L, 2L, 2L, 1L, 1L, 1L, 
    2L, 2L, 1L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 4L, 4L, 1L, 2L, 
    1L, 2L, 2L, 4L, 1L, 1L, 1L, 2L, 4L, 2L, 2L, 4L, 2L, 1L, 1L, 
    2L, 4L, 2L, 1L, 2L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    4L, 4L, 2L), .Label = c("high", "medium",
"no", "none"), class = "factor"),
    case_status = structure(c(1L, 5L, 2L, 5L, 5L, 5L, 5L, 5L, 
    7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 5L, 7L, 5L, 5L, 7L, 
    3L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 7L, 
    5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 7L, 5L, 7L, 5L, 5L, 9L, 
    5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 7L, 2L, 
    7L, 5L, 7L, 7L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 7L, 5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 5L, 3L, 5L, 3L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 3L, 5L, 2L, 5L, 
    2L, 5L, 7L, 2L, 5L, 1L, 5L, 7L, 5L, 5L, 3L, 5L, 5L, 5L, 3L, 
    7L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 7L, 7L, 7L, 5L, 7L, 
    5L, 5L, 5L, 3L, 5L, 5L, 5L, 7L, 5L, 5L, 2L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 5L, 7L, 7L, 5L, 3L, 
    3L, 7L, 5L, 9L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 1L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 3L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 
    3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 7L, 
    5L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 2L, 5L, 5L, 
    5L, 3L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 7L, 9L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 7L, 3L, 5L, 5L, 7L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 
    5L, 7L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 7L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 3L, 5L, 3L, 5L, 5L, 7L, 7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 
    9L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 7L, 5L, 
    3L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 
    3L, 1L, 5L, 5L, 5L, 3L, 5L, 1L, 7L, 5L, 5L, 7L, 7L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 3L, 5L, 5L, 5L, 3L, 5L, 5L, 7L, 5L, 
    5L, 5L, 5L, 5L, 2L, 5L, 5L, 7L, 7L, 7L, 7L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 7L, 5L, 1L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 3L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 2L, 3L, 5L, 
    5L, 5L, 2L, 7L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 7L, 5L, 2L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 
    5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 
    9L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 1L, 
    5L, 3L, 5L, 5L, 9L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 
    5L, 5L, 5L, 5L, 7L, 5L, 5L, 9L, 5L, 2L, 5L, 3L, 5L, 7L, 7L, 
    5L, 3L, 5L, 5L, 5L, 7L, 5L, 7L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 2L, 3L, 5L, 7L, 5L, 7L, 7L, 1L, 3L, 5L, 5L, 3L, 5L, 
    5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 7L, 2L, 7L, 3L, 5L, 5L, 
    7L, 3L, 5L, 1L, 3L, 7L, 5L, 5L, 3L, 5L, 5L, 7L, 1L, 5L, 5L, 
    5L, 7L, 7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 9L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 
    7L, 7L, 5L, 7L, 7L, 5L, 5L, 5L, 5L, 5L, 7L, 7L, 7L, 3L, 2L, 
    5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 
    3L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 7L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 
    3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 7L, 5L, 7L, 
    7L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 3L, 5L, 5L, 
    5L, 5L, 3L, 5L, 5L, 5L, 5L, 9L, 5L, 3L, 7L, 5L, 5L, 5L, 5L, 
    5L, 7L, 7L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 2L, 2L, 
    9L, 5L, 3L, 5L, 5L, 5L, 1L, 5L, 5L, 3L, 5L, 3L, 5L, 5L, 3L, 
    5L, 9L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 1L, 
    5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 2L, 7L, 7L, 5L, 
    7L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 7L, 5L, 7L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 1L, 
    5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 7L, 7L, 3L, 5L, 7L, 
    5L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 7L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 3L, 7L, 5L, 3L, 9L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 7L, 5L, 7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 7L, 7L, 5L, 
    5L, 1L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 7L, 
    5L, 7L, 5L, 3L, 7L, 5L, 5L, 5L, 7L, 5L, 3L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 3L, 1L, 
    5L, 7L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 7L, 5L, 5L, 1L, 2L, 7L, 
    5L, 5L, 5L, 3L, 3L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 7L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 3L, 1L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 
    5L, 5L, 5L, 7L, 3L, 1L, 3L, 5L, 5L, 7L, 3L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 1L, 9L, 5L, 7L, 5L, 5L, 2L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 7L, 
    7L, 5L, 7L, 5L, 5L, 5L, 7L, 7L, 3L, 7L, 3L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 
    7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 7L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 7L, 5L, 7L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    1L, 7L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 5L, 
    5L, 5L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 3L, 5L, 7L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 
    1L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 
    7L, 5L, 5L, 7L, 7L, 7L, 7L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 1L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 7L, 5L, 5L, 5L, 7L, 
    5L, 2L, 5L, 5L, 7L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 
    7L, 7L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 3L, 5L, 
    7L, 7L, 2L, 7L, 7L, 7L, 5L, 5L, 2L, 5L, 2L, 5L, 7L, 5L, 5L, 
    5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 
    5L, 5L, 2L, 5L, 7L, 5L, 9L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 
    5L, 7L, 7L, 7L, 5L, 7L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 5L, 
    5L, 5L, 7L, 7L, 7L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 3L, 5L, 
    5L, 5L, 1L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 7L, 5L, 
    7L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 3L, 7L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 9L, 
    5L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 1L, 3L, 5L, 5L, 2L, 5L, 5L, 
    5L, 5L, 7L, 5L, 2L, 5L, 5L, 3L, 5L, 5L, 2L, 7L, 5L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 2L, 5L, 5L, 5L, 
    5L, 5L, 3L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 8L, 5L, 2L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 
    5L, 5L, 2L, 3L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 
    5L, 5L, 5L, 1L, 7L, 3L, 7L, 5L, 5L, 7L, 5L, 5L, 5L, 7L, 5L, 
    7L, 7L, 1L, 5L, 5L, 7L, 5L, 3L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 5L, 7L, 5L, 
    5L, 5L, 5L, 7L, 5L, 3L, 5L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 7L, 5L, 5L, 5L, 3L, 5L, 5L, 7L, 5L, 7L, 5L, 5L, 3L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 
    7L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 3L, 
    5L, 3L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 1L, 2L, 5L, 1L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 3L, 5L, 5L, 1L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 3L, 
    5L, 7L, 5L, 3L, 5L, 5L, 5L, 3L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 
    5L, 7L, 5L, 5L, 3L, 5L, 2L, 5L, 5L, 5L, 5L, 1L, 5L, 5L, 5L, 
    5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 
    5L, 5L, 7L, 7L, 5L, 5L, 5L, 3L, 5L, 3L, 5L, 5L, 1L, 5L, 5L, 
    5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 7L, 5L, 
    7L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    9L, 5L, 5L, 5L, 5L, 5L, 9L, 5L, 3L, 5L, 5L, 9L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 3L, 5L, 5L, 7L, 
    9L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 5L, 
    5L, 5L, 5L, 5L, 3L, 7L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 2L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 3L), .Label =
c("closed",
    "no resp", "oos", "pending",
"Resolved", "routed", "self closed",
    "Working", "yes"), class = "factor"),
account_segment = structure(c(3L,
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 5L, 3L, 10L, 10L, 5L, 11L, 5L, 7L, 10L, 10L, 
    11L, 5L, 9L, 5L, 5L, 9L, 3L, 9L, 9L, 6L, 3L, 9L, 10L, 10L, 
    3L, 5L, 10L, 9L, 3L, 9L, 10L, 9L, 9L, 5L, 5L, 7L, 3L, 5L, 
    6L, 10L, 1L, 3L, 9L, 11L, 3L, 3L, 3L, 5L, 9L, 11L, 1L, 3L, 
    9L, 3L, 5L, 5L, 3L, 3L, 11L, 5L, 5L, 5L, 3L, 10L, 10L, 6L, 
    9L, 5L, 3L, 3L, 2L, 10L, 7L, 5L, 3L, 5L, 10L, 11L, 9L, 10L, 
    10L, 9L, 3L, 3L, 9L, 3L, 3L, 3L, 5L, 7L, 3L, 9L, 11L, 10L, 
    9L, 3L, 9L, 5L, 3L, 3L, 5L, 3L, 5L, 3L, 5L, 11L, 11L, 5L, 
    11L, 10L, 10L, 3L, 3L, 5L, 3L, 11L, 10L, 3L, 10L, 10L, 7L, 
    5L, 10L, 5L, 5L, 11L, 9L, 5L, 5L, 11L, 5L, 5L, 5L, 10L, 3L, 
    11L, 10L, 9L, 5L, 3L, 5L, 10L, 10L, 10L, 3L, 11L, 11L, 5L, 
    3L, 3L, 5L, 10L, 10L, 3L, 11L, 3L, 10L, 9L, 10L, 3L, 10L, 
    11L, 10L, 5L, 10L, 10L, 3L, 10L, 11L, 3L, 5L, 1L, 3L, 9L, 
    11L, 11L, 5L, 9L, 10L, 3L, 10L, 5L, 10L, 11L, 10L, 5L, 5L, 
    3L, 3L, 1L, 10L, 3L, 11L, 2L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 7L, 10L, 9L, 10L, 5L, 9L, 3L, 10L, 3L, 10L, 3L, 
    5L, 3L, 3L, 3L, 10L, 5L, 3L, 5L, 5L, 3L, 10L, 10L, 10L, 10L, 
    9L, 5L, 5L, 3L, 3L, 9L, 7L, 3L, 5L, 9L, 10L, 9L, 5L, 10L, 
    10L, 3L, 3L, 3L, 10L, 3L, 10L, 3L, 3L, 3L, 9L, 9L, 10L, 11L, 
    9L, 10L, 10L, 3L, 5L, 3L, 10L, 3L, 11L, 5L, 2L, 3L, 10L, 
    5L, 10L, 11L, 3L, 3L, 11L, 10L, 10L, 5L, 9L, 10L, 10L, 3L, 
    10L, 3L, 3L, 5L, 10L, 10L, 9L, 2L, 10L, 3L, 3L, 3L, 10L, 
    10L, 3L, 3L, 10L, 10L, 3L, 10L, 3L, 10L, 10L, 3L, 10L, 10L, 
    10L, 5L, 9L, 10L, 3L, 10L, 3L, 10L, 9L, 3L, 10L, 10L, 10L, 
    5L, 5L, 9L, 3L, 3L, 10L, 3L, 5L, 10L, 2L, 9L, 3L, 10L, 3L, 
    10L, 3L, 3L, 9L, 10L, 3L, 10L, 9L, 9L, 5L, 3L, 11L, 10L, 
    9L, 3L, 5L, 5L, 3L, 5L, 3L, 5L, 3L, 10L, 9L, 10L, 10L, 5L, 
    3L, 5L, 5L, 2L, 3L, 10L, 3L, 11L, 3L, 9L, 3L, 7L, 3L, 2L, 
    3L, 8L, 9L, 5L, 5L, 3L, 11L, 3L, 1L, 10L, 9L, 11L, 5L, 9L, 
    9L, 11L, 3L, 3L, 10L, 5L, 9L, 5L, 10L, 11L, 3L, 3L, 10L, 
    3L, 7L, 5L, 11L, 5L, 3L, 3L, 10L, 10L, 3L, 9L, 10L, 9L, 3L, 
    1L, 10L, 9L, 3L, 9L, 3L, 11L, 5L, 5L, 5L, 11L, 5L, 3L, 10L, 
    10L, 3L, 11L, 2L, 10L, 10L, 10L, 5L, 3L, 11L, 11L, 5L, 6L, 
    10L, 3L, 3L, 10L, 2L, 5L, 9L, 11L, 7L, 9L, 1L, 11L, 10L, 
    5L, 9L, 11L, 9L, 9L, 5L, 5L, 5L, 3L, 3L, 9L, 3L, 3L, 2L, 
    9L, 5L, 9L, 5L, 5L, 5L, 5L, 5L, 10L, 10L, 3L, 3L, 3L, 11L, 
    3L, 3L, 3L, 6L, 3L, 10L, 3L, 9L, 5L, 10L, 5L, 7L, 9L, 5L, 
    10L, 9L, 1L, 11L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    9L, 5L, 9L, 5L, 5L, 10L, 3L, 10L, 3L, 3L, 3L, 3L, 10L, 5L, 
    3L, 10L, 9L, 10L, 10L, 9L, 10L, 3L, 3L, 11L, 7L, 9L, 9L, 
    10L, 3L, 3L, 3L, 3L, 5L, 3L, 10L, 2L, 10L, 3L, 3L, 3L, 3L, 
    5L, 10L, 5L, 10L, 11L, 11L, 10L, 5L, 9L, 11L, 3L, 5L, 10L, 
    10L, 10L, 3L, 5L, 10L, 9L, 5L, 9L, 3L, 10L, 3L, 3L, 7L, 3L, 
    10L, 3L, 11L, 9L, 10L, 10L, 9L, 10L, 5L, 3L, 5L, 10L, 3L, 
    9L, 10L, 10L, 5L, 9L, 3L, 5L, 3L, 3L, 11L, 3L, 3L, 10L, 9L, 
    7L, 5L, 10L, 3L, 3L, 5L, 3L, 9L, 10L, 3L, 3L, 3L, 5L, 3L, 
    3L, 10L, 3L, 5L, 5L, 2L, 3L, 11L, 10L, 7L, 3L, 10L, 10L, 
    3L, 11L, 5L, 10L, 5L, 5L, 5L, 11L, 9L, 9L, 9L, 9L, 5L, 10L, 
    3L, 10L, 11L, 3L, 11L, 11L, 9L, 3L, 6L, 2L, 3L, 3L, 10L, 
    3L, 5L, 3L, 3L, 5L, 9L, 5L, 11L, 9L, 10L, 9L, 3L, 5L, 10L, 
    9L, 5L, 3L, 3L, 3L, 2L, 10L, 3L, 3L, 3L, 11L, 11L, 3L, 5L, 
    6L, 9L, 3L, 5L, 10L, 3L, 10L, 3L, 3L, 3L, 11L, 7L, 3L, 9L, 
    11L, 5L, 10L, 10L, 11L, 11L, 3L, 1L, 9L, 3L, 5L, 5L, 10L, 
    11L, 3L, 10L, 5L, 3L, 3L, 5L, 7L, 11L, 5L, 3L, 3L, 3L, 3L, 
    5L, 3L, 9L, 3L, 10L, 3L, 10L, 3L, 5L, 10L, 3L, 3L, 9L, 5L, 
    9L, 9L, 9L, 9L, 5L, 3L, 5L, 7L, 9L, 3L, 10L, 11L, 3L, 9L, 
    3L, 9L, 7L, 3L, 3L, 3L, 9L, 11L, 3L, 9L, 11L, 5L, 5L, 9L, 
    9L, 3L, 11L, 5L, 9L, 9L, 9L, 5L, 10L, 9L, 5L, 3L, 3L, 5L, 
    3L, 3L, 10L, 9L, 2L, 9L, 10L, 3L, 5L, 11L, 5L, 5L, 9L, 9L, 
    10L, 3L, 11L, 10L, 11L, 7L, 11L, 9L, 3L, 3L, 7L, 10L, 11L, 
    3L, 9L, 3L, 9L, 1L, 5L, 9L, 3L, 9L, 10L, 5L, 3L, 11L, 3L, 
    3L, 10L, 9L, 10L, 10L, 5L, 10L, 10L, 5L, 5L, 10L, 3L, 3L, 
    10L, 10L, 5L, 10L, 3L, 3L, 9L, 9L, 10L, 3L, 11L, 3L, 10L, 
    3L, 3L, 10L, 3L, 9L, 10L, 9L, 10L, 5L, 5L, 7L, 5L, 5L, 2L, 
    3L, 3L, 10L, 3L, 10L, 5L, 11L, 7L, 5L, 10L, 9L, 3L, 3L, 10L, 
    10L, 3L, 5L, 3L, 5L, 5L, 3L, 5L, 9L, 10L, 10L, 3L, 11L, 3L, 
    10L, 3L, 11L, 10L, 9L, 9L, 3L, 10L, 3L, 5L, 10L, 5L, 10L, 
    3L, 3L, 11L, 3L, 3L, 3L, 3L, 9L, 3L, 5L, 5L, 6L, 9L, 11L, 
    10L, 11L, 10L, 9L, 10L, 11L, 9L, 5L, 3L, 3L, 5L, 5L, 11L, 
    5L, 5L, 5L, 10L, 5L, 3L), .Label = c("-", "Flagship",
"Large",
    "Low", "Medium", "Mega", "N/A",
"Platinum", "Small", "Top",
    "Very Small"), class = "factor"), sla_status =
structure(c(1L,
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L), .Label = c("Met", "Missed",
"N/A", "Pending"
    ), class = "factor")), .Names = c("support_cat",
"region",
"support_lvl", "skill_group", "application_area",
"functional_area",
"score", "rep_score", "product_know",
"understanding_issue",
"case_age", "severity_level", "case_status",
"account_segment",
"sla_status"), row.names = c(NA, 2000L), class =
"data.frame")

Hi Michael,

In all the masking process some of the variables were missed. Please find
the updated file.

Also here is the updated code: (i am removed one of the var as it had
missing information):

glm.fit= glm(survey ~ support_cat + region+ support_lvl+ skill_group+
application_area+ functional_area+
          repS+ case_age+ case_status+ severity_level+
          sla_status, data = new, family = binomial)

Kindly assist with the same.

On Fri, Aug 12, 2016 at 11:05 PM, Michael Dewey <lists at
dewey.myzen.co.uk>
wrote:
> Your example code refers to a variable which is not in your dataset (repS)
> so I get an error message. If I assume repS is in fact rep_score I get
> another variable not found (delivery_segmentation).
>
> I am afraid that I am unable to sort that one out so this is going to
> remain a mystery. I endorse Bert's suggestion of getting local help.
>
> On 12/08/2016 17:24, Shivi Bhatia wrote:
>
>> Hi Bert,
>>
>> Does this text file help. Apologies if this does not help as i have a
>> hard time on many occasions to get a reproducible example.
>>
>> If this doesn't work a CSV with only 100kb of data i can share.
>>
>> Regards, Shivi
>>
>> On Fri, Aug 12, 2016 at 8:50 PM, Shivi Bhatia <shivipmp82 at
gmail.com
>> <mailto:shivipmp82 at gmail.com>> wrote:
>>
>>     Sure Burt, i will share the data after masking it.  it isn't
big
>>
>>     regards, Shivi
>>
>>     On Fri, Aug 12, 2016 at 8:36 PM, Bert Gunter <bgunter.4567 at
gmail.com
>>     <mailto:bgunter.4567 at gmail.com>> wrote:
>>
>>         1. No, changing to factor will make no difference.
>>
>>         2. I think that most likely your problem is your model is not
>>         estimable/your design matrix is singular.  You should resolve
>>         this by
>>         consulting with a local statistical expert or, if your data set
>>         is not
>>         too large or confidential, posting your full dataset using
>>         dput() (see
>>         ?dput for how to do this).
>>
>>         Cheers,
>>         Bert
>>         Bert Gunter
>>
>>         "The trouble with having an open mind is that people keep
coming
>>         along
>>         and sticking things into it."
>>         -- Opus (aka Berkeley Breathed in his "Bloom County"
comic strip )
>>
>>
>>         On Fri, Aug 12, 2016 at 7:58 AM, Shivi Bhatia
>>         <shivipmp82 at gmail.com <mailto:shivipmp82 at
gmail.com>> wrote:
>>         > Hi Michael,
>>         >
>>         > There is no output as the model does not generate any
>>         coefficients and
>>         > simply throws this error.
>>         >
>>         > I hope you are not asking for a reproducible example.
>>         >
>>         > On Fri, Aug 12, 2016 at 7:30 PM, Michael Dewey
>>         <lists at dewey.myzen.co.uk <mailto:lists at
dewey.myzen.co.uk>>
>>
>>         > wrote:
>>         >
>>         >> Dear Shivi
>>         >>
>>         >> Can you show us the output?
>>         >>
>>         >> And please do not post in HTML as it will mangle your
post into
>>         >> unreadability.
>>         >>
>>         >> On 12/08/2016 10:10, Shivi Bhatia wrote:
>>         >>
>>         >>> Hi Team,
>>         >>>
>>         >>> I am creating *my first* Logistic regression on R
Studio. I
>>         am working on
>>         >>> a
>>         >>>
>>         >>> C-SAT data where rating (score) 0-8 is a dis-sat
whereas
>>         9-10 are SAT. As
>>         >>> these were in numeric form so i had as below
created 2
>> classes:
>>         >>>
>>         >>> new$survey[new$score>=0 &
new$score<=8]<- 0
>>         >>> new$survey[new$score>=9]<- 1
>>         >>> This works fine however the class still shows as
"numeric"
>>         and levels
>>         >>> shows
>>         >>> as "NULL". Do i still need to use
"as.factor" to let R know
>>         these are
>>         >>> categorical variables.
>>         >>>
>>         >>> Also i have used the below code to run a logistic
regression
>>         with all the
>>         >>> possible predictor variables:
>>         >>> glm.fit= glm(survey ~ support_cat + region+
support_lvl+
>>         skill_group+
>>         >>> application_area+ functional_area+
>>         >>>           repS+ case_age+ case_status+
severity_level+
>>         >>>           sla_status+ delivery_segmentation, data
= SFDC,
>>         family >>         >>> binomial)
>>         >>>
>>         >>> But it throws an error:-
>>         >>> Warning messages:
>>         >>> 1: glm.fit: algorithm did not converge
>>         >>> 2: glm.fit: fitted probabilities numerically 0 or
1 occurred
>>         >>>
>>         >>> I checked online for the error and it says:
>>         >>> "glm() uses an iterative re-weighted least
squares
>>         algorithm. The
>>         >>> algorithm
>>         >>> hit the maximum number of allowed iterations
before signalling
>>         >>> convergence.
>>         >>> The default,
>>         >>> documented in ?glm.control is 25."
>>         >>>
>>         >>> Kindly suggest on the above case and if i have to
change my
>>         outcome var as
>>         >>> as.factor.
>>         >>>
>>         >>> Thank you, Shivi
>>         >>>
>>         >>>         [[alternative HTML version deleted]]
>>         >>>
>>         >>> ______________________________________________
>>         >>> R-help at r-project.org <mailto:R-help at
r-project.org> mailing
>>         list -- To UNSUBSCRIBE and more, see
>>         >>> https://stat.ethz.ch/mailman/listinfo/r-help
>>         <https://stat.ethz.ch/mailman/listinfo/r-help>
>>         >>> PLEASE do read the posting guide
>> http://www.R-project.org/posti
>>         >>> ng-guide.html
>>         >>> and provide commented, minimal, self-contained,
reproducible
>>         code.
>>         >>>
>>         >>>
>>         >> --
>>         >> Michael
>>         >> http://www.dewey.myzen.co.uk/home.html
>>         <http://www.dewey.myzen.co.uk/home.html>
>>         >>
>>         >
>>         >         [[alternative HTML version deleted]]
>>         >
>>         > ______________________________________________
>>         > R-help at r-project.org <mailto:R-help at
r-project.org> mailing
>>         list -- To UNSUBSCRIBE and more, see
>>         > https://stat.ethz.ch/mailman/listinfo/r-help
>>         <https://stat.ethz.ch/mailman/listinfo/r-help>
>>         > PLEASE do read the posting guide
>>         http://www.R-project.org/posting-guide.html
>>         <http://www.R-project.org/posting-guide.html>
>>         > and provide commented, minimal, self-contained,
reproducible
>> code.
>>
>>
>>
>>
> --
> Michael
> http://www.dewey.myzen.co.uk/home.html
>
-------------- next part --------------
structure(list(support_cat = structure(c(2L, 3L, 4L, 3L, 5L, 
6L, 6L, 4L, 6L, 3L, 4L, 7L, 6L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 
3L, 8L, 3L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 8L, 3L, 6L, 8L, 8L, 3L, 
3L, 3L, 5L, 3L, 3L, 8L, 8L, 3L, 3L, 9L, 10L, 6L, 3L, 3L, 6L, 
5L, 3L, 3L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 8L, 8L, 3L, 9L, 9L, 
10L, 10L, 6L, 10L, 6L, 5L, 6L, 6L, 3L, 3L, 6L, 6L, 3L, 6L, 3L, 
3L, 3L, 8L, 3L, 3L, 11L, 8L, 6L, 8L, 3L, 3L, 3L, 3L, 4L, 3L, 
4L, 10L, 6L, 8L, 3L, 3L, 3L, 6L, 8L, 8L, 3L, 3L, 3L, 3L, 3L, 
3L, 8L, 3L, 8L, 3L, 3L, 2L, 3L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 6L, 
3L, 10L, 6L, 3L, 6L, 6L, 3L, 8L, 6L, 3L, 5L, 3L, 8L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 10L, 3L, 9L, 9L, 9L, 9L, 6L, 10L, 6L, 
6L, 3L, 6L, 3L, 3L, 8L, 3L, 3L, 5L, 6L, 3L, 3L, 3L, 3L, 11L, 
6L, 8L, 3L, 2L, 3L, 10L, 9L, 10L, 10L, 3L, 10L, 10L, 8L, 6L, 
6L, 10L, 6L, 8L, 3L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
9L, 8L, 3L, 4L, 10L, 6L, 9L, 3L, 3L, 12L, 4L, 6L, 3L, 5L, 3L, 
3L, 3L, 3L, 3L, 10L, 3L, 10L, 4L, 9L, 9L, 3L, 3L, 3L, 6L, 6L, 
3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 8L, 
3L, 3L, 4L, 8L, 3L, 4L, 10L, 4L, 4L, 10L, 8L, 3L, 4L, 3L, 3L, 
6L, 6L, 3L, 8L, 3L, 6L, 3L, 3L, 3L, 6L, 3L, 7L, 3L, 3L, 3L, 3L, 
5L, 3L, 3L, 3L, 3L, 3L, 3L, 8L, 3L, 6L, 3L, 3L, 3L, 3L, 10L, 
4L, 8L, 11L, 3L, 11L, 10L, 8L, 3L, 10L, 6L, 3L, 3L, 3L, 3L, 3L, 
5L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 4L, 
6L, 3L, 4L, 10L, 9L, 3L, 10L, 8L, 13L, 6L, 6L, 8L, 8L, 6L, 11L, 
3L, 8L, 3L, 3L, 8L, 8L, 3L, 3L, 3L, 3L, 3L, 8L, 2L, 3L, 3L, 10L, 
3L, 10L, 10L, 8L, 10L, 8L, 9L, 3L, 6L, 9L, 3L, 6L, 6L, 6L, 6L, 
3L, 6L, 3L, 8L, 3L, 3L, 6L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 10L, 9L, 3L, 3L, 11L, 9L, 6L, 8L, 3L, 6L, 6L, 11L, 3L, 3L, 
6L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 11L, 3L, 11L, 3L, 4L, 
4L, 4L, 3L, 4L, 3L, 6L, 6L, 3L, 3L, 6L, 3L, 3L, 3L, 8L, 3L, 3L, 
3L, 3L, 5L, 3L, 3L, 3L, 14L, 11L, 8L, 3L, 3L, 3L, 3L, 4L, 3L, 
8L, 10L, 10L, 10L, 6L, 10L, 11L, 2L, 6L, 3L, 6L, 3L, 6L, 14L, 
8L, 3L, 3L, 3L, 8L, 3L, 3L, 3L, 8L, 3L, 3L, 3L, 2L, 10L, 10L, 
10L, 10L, 10L, 9L, 9L, 6L, 4L, 3L, 3L, 3L, 5L, 3L, 3L, 6L, 3L, 
3L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 4L, 6L, 8L, 3L, 4L, 
4L, 6L, 3L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 3L, 4L, 9L, 6L, 6L, 
6L, 3L, 6L, 3L, 4L, 10L, 3L, 3L, 8L, 4L, 2L, 10L, 10L, 8L, 3L, 
4L, 6L, 3L, 3L, 4L, 6L, 3L, 6L, 6L, 6L, 6L, 3L, 3L, 6L, 6L, 3L, 
7L, 2L, 7L, 6L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 
3L, 3L, 4L, 4L, 4L, 6L, 11L, 6L, 8L, 12L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 6L, 10L, 3L, 
3L, 8L, 6L, 3L, 12L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 10L, 3L, 7L, 
9L, 9L, 10L, 3L, 9L, 9L, 7L, 6L, 8L, 6L, 6L, 6L, 3L, 3L, 6L, 
6L, 3L, 3L, 3L, 15L, 8L, 3L, 3L, 8L, 3L, 3L, 10L, 4L, 10L, 10L, 
6L, 6L, 6L, 6L, 3L, 8L, 6L, 13L, 3L, 3L, 3L, 3L, 6L, 6L, 3L, 
10L, 10L, 9L, 3L, 6L, 6L, 10L, 3L, 8L, 6L, 3L, 11L, 3L, 6L, 3L, 
3L, 3L, 11L, 3L, 3L, 3L, 8L, 10L, 4L, 4L, 4L, 6L, 3L, 8L, 8L, 
6L, 6L, 6L, 5L, 3L, 3L, 3L, 3L, 3L, 4L, 5L, 3L, 6L, 3L, 3L, 8L, 
4L, 3L, 4L, 10L, 4L, 10L, 10L, 10L, 10L, 10L, 3L, 3L, 3L, 8L, 
3L, 10L, 10L, 10L, 6L, 10L, 6L, 3L, 3L, 3L, 8L, 3L, 3L, 3L, 3L, 
10L, 3L, 3L, 11L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 8L, 
2L, 9L, 10L, 3L, 3L, 8L, 8L, 4L, 3L, 3L, 5L, 6L, 3L, 6L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 8L, 3L, 3L, 3L, 4L, 8L, 3L, 8L, 3L, 10L, 
3L, 4L, 10L, 3L, 9L, 9L, 10L, 6L, 6L, 6L, 3L, 6L, 8L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 
3L, 3L, 3L, 4L, 11L, 10L, 9L, 10L, 10L, 5L, 4L, 10L, 10L, 3L, 
8L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 6L, 6L, 10L, 5L, 
2L, 5L, 6L, 3L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 5L, 3L, 10L, 
10L, 10L, 6L, 10L, 3L, 10L, 11L, 3L, 6L, 6L, 3L, 2L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 5L, 8L, 10L, 10L, 4L, 4L, 4L, 3L, 10L, 
3L, 10L, 6L, 6L, 5L, 3L, 3L, 3L, 3L, 11L, 6L, 3L, 3L, 3L, 8L, 
3L, 3L, 3L, 3L, 15L, 3L, 3L, 3L, 3L, 3L, 11L, 3L, 11L, 3L, 10L, 
10L, 4L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 3L, 6L, 6L, 3L, 3L, 
3L, 6L, 3L, 3L, 8L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 
6L, 4L, 8L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 11L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 10L, 4L, 10L, 4L, 
9L, 9L, 4L, 10L, 6L), .Label = c("", "a", "b",
"c", "d", "e",
"f", "g", "h", "i", "j",
"k", "l", "m", "n", "o",
"p", "q"), class = "factor"),
    region = structure(c(2L, 3L, 4L, 3L, 3L, 5L, 5L, 4L, 5L, 
    3L, 4L, 5L, 5L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 
    2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 5L, 2L, 2L, 3L, 3L, 3L, 
    2L, 3L, 3L, 2L, 2L, 3L, 3L, 6L, 6L, 5L, 3L, 3L, 5L, 2L, 3L, 
    3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 6L, 6L, 
    6L, 5L, 6L, 5L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 3L, 5L, 3L, 3L, 
    3L, 2L, 3L, 3L, 2L, 2L, 5L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 
    6L, 5L, 2L, 3L, 3L, 3L, 5L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    2L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 5L, 
    3L, 6L, 5L, 3L, 5L, 5L, 3L, 2L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 6L, 3L, 6L, 6L, 6L, 6L, 5L, 6L, 5L, 
    5L, 3L, 5L, 3L, 3L, 2L, 3L, 3L, 2L, 5L, 3L, 3L, 3L, 3L, 2L, 
    5L, 2L, 3L, 2L, 3L, 6L, 6L, 6L, 6L, 3L, 6L, 6L, 2L, 5L, 5L, 
    6L, 5L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 
    2L, 3L, 4L, 6L, 5L, 6L, 3L, 3L, 2L, 4L, 5L, 3L, 2L, 3L, 3L, 
    3L, 3L, 3L, 6L, 3L, 6L, 4L, 6L, 6L, 3L, 3L, 3L, 5L, 5L, 3L, 
    3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 4L, 3L, 3L, 4L, 6L, 4L, 4L, 6L, 5L, 3L, 4L, 3L, 3L, 
    5L, 5L, 3L, 2L, 3L, 5L, 3L, 3L, 3L, 5L, 3L, 5L, 3L, 3L, 3L, 
    3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 5L, 3L, 3L, 3L, 3L, 
    6L, 4L, 2L, 2L, 3L, 2L, 6L, 3L, 3L, 6L, 5L, 3L, 3L, 3L, 3L, 
    3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 2L, 3L, 
    3L, 4L, 5L, 3L, 4L, 6L, 6L, 3L, 6L, 3L, 5L, 5L, 5L, 2L, 2L, 
    5L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 
    3L, 3L, 6L, 3L, 6L, 6L, 3L, 6L, 3L, 6L, 3L, 5L, 6L, 3L, 5L, 
    5L, 5L, 5L, 3L, 5L, 3L, 2L, 3L, 3L, 5L, 2L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 6L, 6L, 3L, 3L, 2L, 6L, 5L, 3L, 3L, 5L, 
    5L, 5L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 2L, 
    3L, 2L, 3L, 4L, 4L, 4L, 3L, 4L, 3L, 5L, 5L, 3L, 3L, 5L, 3L, 
    3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 
    3L, 3L, 3L, 4L, 3L, 2L, 6L, 6L, 6L, 5L, 6L, 2L, 2L, 5L, 3L, 
    5L, 3L, 5L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 2L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 4L, 3L, 3L, 3L, 2L, 
    3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 
    4L, 5L, 2L, 3L, 4L, 4L, 5L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    4L, 3L, 4L, 6L, 5L, 5L, 5L, 3L, 5L, 3L, 4L, 6L, 3L, 3L, 3L, 
    4L, 2L, 6L, 6L, 2L, 3L, 4L, 5L, 3L, 3L, 4L, 5L, 3L, 5L, 5L, 
    5L, 5L, 3L, 3L, 5L, 5L, 3L, 5L, 2L, 5L, 5L, 3L, 3L, 2L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 
    5L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 
    4L, 4L, 4L, 4L, 3L, 5L, 6L, 3L, 3L, 2L, 5L, 3L, 2L, 5L, 3L, 
    3L, 3L, 3L, 3L, 3L, 6L, 3L, 2L, 6L, 6L, 6L, 3L, 6L, 6L, 2L, 
    5L, 2L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 3L, 3L, 3L, 7L, 2L, 3L, 
    3L, 2L, 3L, 3L, 6L, 4L, 6L, 6L, 5L, 5L, 5L, 5L, 3L, 2L, 5L, 
    2L, 3L, 3L, 3L, 3L, 5L, 5L, 3L, 6L, 6L, 6L, 3L, 5L, 5L, 6L, 
    3L, 2L, 5L, 3L, 2L, 3L, 5L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 
    6L, 4L, 4L, 4L, 5L, 3L, 2L, 2L, 5L, 2L, 5L, 5L, 3L, 3L, 3L, 
    3L, 3L, 4L, 2L, 3L, 5L, 3L, 3L, 2L, 4L, 3L, 4L, 6L, 4L, 6L, 
    6L, 6L, 6L, 6L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 6L, 5L, 6L, 2L, 
    3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 6L, 6L, 3L, 3L, 3L, 2L, 
    4L, 3L, 3L, 5L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 
    3L, 3L, 3L, 4L, 2L, 3L, 2L, 3L, 6L, 3L, 4L, 6L, 3L, 6L, 6L, 
    6L, 5L, 5L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 4L, 2L, 
    6L, 6L, 6L, 6L, 2L, 4L, 6L, 6L, 3L, 2L, 3L, 3L, 3L, 5L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 5L, 2L, 2L, 5L, 3L, 3L, 
    3L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 6L, 5L, 6L, 
    3L, 6L, 2L, 3L, 5L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 2L, 2L, 6L, 6L, 4L, 4L, 4L, 3L, 6L, 3L, 6L, 5L, 5L, 2L, 
    3L, 3L, 3L, 3L, 2L, 5L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 6L, 6L, 4L, 5L, 3L, 3L, 
    3L, 3L, 3L, 3L, 5L, 3L, 5L, 5L, 3L, 3L, 3L, 5L, 3L, 3L, 2L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 4L, 2L, 3L, 
    3L, 3L, 3L, 5L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 4L, 4L, 6L, 4L, 6L, 4L, 6L, 6L, 4L, 6L, 
    5L), .Label = c("", "a", "b", "c",
"d", "e", "f", "g"), class =
"factor"),
    support_lvl = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L), .Label = c("", "basc12", "basic1",
"Other"), class = "factor"),
    skill_group = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 
    2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 
    2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 
    2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 
    3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 
    2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 
    3L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 
    2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 
    3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 3L), .Label = c("", "one", "two"), class =
"factor"),
    application_area = structure(c(2L, 11L, 2L, 8L, 2L, 2L, 2L, 
    3L, 2L, 4L, 3L, 4L, 2L, 8L, 2L, 2L, 4L, 4L, 2L, 3L, 16L, 
    4L, 4L, 8L, 2L, 2L, 4L, 2L, 2L, 2L, 8L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 15L, 2L, 3L, 4L, 4L, 2L, 2L, 
    3L, 3L, 4L, 2L, 2L, 2L, 2L, 2L, 6L, 10L, 4L, 4L, 4L, 10L, 
    3L, 8L, 4L, 2L, 2L, 2L, 14L, 4L, 4L, 2L, 2L, 3L, 2L, 2L, 
    2L, 6L, 2L, 2L, 4L, 4L, 2L, 2L, 10L, 2L, 3L, 2L, 2L, 2L, 
    3L, 2L, 4L, 2L, 2L, 3L, 10L, 2L, 2L, 2L, 4L, 3L, 2L, 4L, 
    2L, 3L, 2L, 2L, 3L, 2L, 3L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 
    4L, 3L, 3L, 2L, 16L, 3L, 2L, 4L, 8L, 2L, 4L, 2L, 2L, 2L, 
    3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 4L, 2L, 2L, 2L, 
    2L, 3L, 2L, 4L, 2L, 4L, 14L, 4L, 2L, 3L, 8L, 4L, 3L, 2L, 
    2L, 2L, 2L, 12L, 2L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 4L, 4L, 
    2L, 2L, 4L, 2L, 4L, 16L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 
    2L, 2L, 3L, 2L, 11L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 4L, 2L, 
    3L, 2L, 3L, 2L, 8L, 3L, 4L, 3L, 2L, 2L, 2L, 4L, 3L, 8L, 3L, 
    2L, 4L, 3L, 4L, 10L, 2L, 8L, 2L, 4L, 2L, 2L, 13L, 3L, 2L, 
    2L, 4L, 2L, 2L, 2L, 4L, 13L, 2L, 14L, 4L, 2L, 3L, 4L, 2L, 
    2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 13L, 4L, 2L, 
    2L, 4L, 2L, 3L, 2L, 2L, 4L, 2L, 10L, 10L, 2L, 2L, 2L, 2L, 
    3L, 6L, 3L, 2L, 4L, 2L, 2L, 3L, 4L, 2L, 3L, 6L, 11L, 2L, 
    2L, 2L, 3L, 2L, 2L, 6L, 2L, 3L, 2L, 4L, 2L, 4L, 4L, 2L, 8L, 
    4L, 10L, 2L, 2L, 2L, 3L, 2L, 2L, 4L, 3L, 3L, 2L, 4L, 2L, 
    8L, 2L, 4L, 4L, 4L, 2L, 13L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 
    2L, 2L, 4L, 2L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 16L, 13L, 
    4L, 4L, 2L, 4L, 2L, 13L, 2L, 8L, 4L, 2L, 2L, 2L, 4L, 2L, 
    3L, 2L, 2L, 2L, 8L, 3L, 3L, 4L, 2L, 4L, 2L, 15L, 2L, 10L, 
    10L, 2L, 2L, 2L, 3L, 10L, 3L, 8L, 10L, 3L, 3L, 4L, 4L, 2L, 
    16L, 3L, 2L, 4L, 2L, 2L, 2L, 14L, 4L, 2L, 3L, 3L, 3L, 16L, 
    8L, 2L, 4L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 8L, 
    2L, 2L, 3L, 2L, 2L, 4L, 2L, 2L, 3L, 4L, 4L, 3L, 16L, 8L, 
    3L, 3L, 4L, 3L, 2L, 16L, 7L, 2L, 2L, 2L, 4L, 4L, 3L, 2L, 
    2L, 4L, 2L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 17L, 
    4L, 2L, 2L, 16L, 3L, 2L, 13L, 2L, 4L, 2L, 2L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 4L, 3L, 2L, 2L, 
    2L, 10L, 4L, 4L, 2L, 2L, 2L, 3L, 8L, 3L, 3L, 4L, 2L, 2L, 
    10L, 4L, 2L, 3L, 3L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 14L, 2L, 
    2L, 6L, 6L, 4L, 4L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 3L, 3L, 2L, 
    2L, 2L, 2L, 4L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 4L, 2L, 2L, 
    2L, 3L, 4L, 2L, 10L, 2L, 2L, 3L, 4L, 12L, 2L, 3L, 4L, 4L, 
    10L, 3L, 4L, 4L, 2L, 6L, 2L, 2L, 10L, 4L, 3L, 2L, 4L, 8L, 
    8L, 3L, 2L, 2L, 3L, 4L, 4L, 10L, 11L, 2L, 10L, 4L, 2L, 11L, 
    2L, 16L, 4L, 3L, 2L, 3L, 2L, 2L, 3L, 4L, 3L, 2L, 2L, 2L, 
    2L, 3L, 14L, 2L, 2L, 2L, 4L, 2L, 8L, 4L, 2L, 4L, 2L, 2L, 
    2L, 4L, 2L, 4L, 4L, 4L, 2L, 15L, 2L, 4L, 3L, 4L, 2L, 4L, 
    4L, 3L, 2L, 2L, 2L, 8L, 2L, 2L, 2L, 6L, 2L, 3L, 2L, 2L, 15L, 
    10L, 16L, 2L, 4L, 2L, 3L, 4L, 13L, 3L, 2L, 3L, 3L, 3L, 3L, 
    8L, 2L, 4L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 4L, 15L, 4L, 2L, 
    2L, 4L, 2L, 10L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 
    2L, 8L, 2L, 3L, 2L, 4L, 10L, 2L, 2L, 16L, 12L, 2L, 2L, 2L, 
    2L, 6L, 6L, 4L, 2L, 2L, 2L, 2L, 4L, 4L, 3L, 2L, 2L, 2L, 2L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 10L, 2L, 3L, 10L, 10L, 3L, 2L, 
    10L, 2L, 4L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 6L, 2L, 2L, 4L, 
    2L, 4L, 15L, 8L, 2L, 2L, 2L, 2L, 4L, 3L, 4L, 8L, 2L, 2L, 
    2L, 3L, 2L, 2L, 2L, 3L, 4L, 2L, 4L, 2L, 2L, 3L, 4L, 2L, 4L, 
    2L, 2L, 2L, 3L, 8L, 8L, 2L, 3L, 4L, 4L, 10L, 2L, 2L, 11L, 
    2L, 2L, 2L, 3L, 2L, 4L, 13L, 4L, 2L, 2L, 2L, 4L, 4L, 10L, 
    3L, 14L, 2L, 8L, 2L, 4L, 16L, 4L, 2L, 13L, 2L, 3L, 3L, 2L, 
    2L, 2L, 2L, 2L, 2L, 4L, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 2L, 8L, 
    2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 2L, 2L, 6L, 3L, 3L, 6L, 
    3L, 3L, 14L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 16L, 4L, 2L, 2L, 
    2L, 3L, 2L, 6L, 10L, 3L, 13L, 4L, 2L, 2L, 3L, 4L, 4L, 4L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 16L, 4L, 10L, 2L, 4L, 2L, 4L, 
    2L, 3L, 14L, 14L, 2L, 2L, 3L, 2L, 2L, 4L, 2L, 2L, 6L, 2L, 
    2L, 2L, 3L, 2L, 2L, 2L, 2L, 4L, 10L, 4L, 4L, 2L, 2L, 3L, 
    2L, 2L, 2L, 2L, 6L, 2L, 3L, 2L, 4L, 2L, 16L, 2L, 3L, 4L, 
    13L, 2L, 2L, 3L, 4L, 10L, 2L, 2L, 4L, 2L, 14L, 2L, 4L, 3L, 
    4L, 2L, 10L, 4L, 8L, 4L, 3L, 2L, 3L, 2L, 2L, 2L, 14L, 2L, 
    3L, 2L, 3L, 2L, 14L, 2L, 16L, 2L, 10L, 2L, 3L, 2L, 13L, 4L, 
    2L, 2L, 4L, 2L, 2L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 2L, 4L, 
    4L, 2L, 2L, 2L, 2L, 10L, 8L, 2L, 2L, 2L, 4L), .Label = c("", 
    "a", "b", "c", "d", "e",
"f", "g", "h", "i", "j",
"k", "l",
    "m", "n", "o", "p"), class =
"factor"), functional_area = structure(c(6L,
    39L, 24L, 29L, 24L, 60L, 24L, 18L, 2L, 11L, 18L, 52L, 24L, 
    29L, 24L, 6L, 9L, 9L, 24L, 6L, 62L, 31L, 3L, 23L, 24L, 24L, 
    46L, 6L, 24L, 24L, 29L, 24L, 24L, 6L, 24L, 24L, 24L, 24L, 
    24L, 2L, 24L, 24L, 24L, 2L, 24L, 18L, 8L, 8L, 24L, 24L, 18L, 
    18L, 17L, 60L, 24L, 2L, 24L, 24L, 51L, 20L, 22L, 42L, 22L, 
    20L, 18L, 29L, 46L, 62L, 24L, 6L, 23L, 53L, 13L, 24L, 24L, 
    18L, 62L, 24L, 24L, 65L, 24L, 6L, 17L, 9L, 24L, 24L, 20L, 
    6L, 18L, 24L, 24L, 24L, 18L, 24L, 8L, 24L, 44L, 18L, 20L, 
    24L, 24L, 2L, 52L, 18L, 24L, 43L, 24L, 18L, 24L, 24L, 10L, 
    24L, 18L, 52L, 24L, 24L, 52L, 24L, 24L, 24L, 22L, 58L, 6L, 
    18L, 24L, 64L, 10L, 24L, 9L, 23L, 2L, 8L, 6L, 24L, 24L, 6L, 
    24L, 10L, 62L, 6L, 24L, 24L, 24L, 52L, 18L, 62L, 9L, 24L, 
    24L, 24L, 24L, 18L, 62L, 9L, 44L, 9L, 37L, 8L, 2L, 18L, 29L, 
    36L, 18L, 24L, 24L, 6L, 24L, 61L, 44L, 24L, 18L, 24L, 24L, 
    24L, 9L, 18L, 52L, 22L, 24L, 6L, 8L, 24L, 8L, 62L, 24L, 6L, 
    24L, 24L, 22L, 24L, 44L, 24L, 6L, 2L, 10L, 2L, 54L, 9L, 24L, 
    6L, 24L, 2L, 52L, 44L, 52L, 24L, 18L, 6L, 18L, 44L, 23L, 
    18L, 52L, 10L, 6L, 24L, 6L, 9L, 10L, 29L, 18L, 24L, 46L, 
    18L, 17L, 20L, 24L, 29L, 24L, 9L, 24L, 24L, 7L, 10L, 2L, 
    62L, 22L, 2L, 24L, 62L, 22L, 30L, 24L, 37L, 9L, 24L, 18L, 
    9L, 24L, 6L, 6L, 44L, 18L, 10L, 24L, 6L, 24L, 24L, 60L, 24L, 
    7L, 9L, 24L, 24L, 46L, 44L, 18L, 24L, 24L, 17L, 24L, 20L, 
    20L, 62L, 24L, 62L, 24L, 18L, 67L, 40L, 24L, 51L, 24L, 24L, 
    18L, 52L, 6L, 18L, 12L, 34L, 24L, 44L, 24L, 18L, 24L, 24L, 
    22L, 24L, 18L, 24L, 46L, 50L, 8L, 8L, 24L, 29L, 9L, 20L, 
    6L, 6L, 24L, 18L, 24L, 6L, 52L, 18L, 10L, 24L, 51L, 24L, 
    23L, 24L, 52L, 46L, 22L, 24L, 45L, 6L, 2L, 6L, 44L, 24L, 
    24L, 58L, 24L, 2L, 52L, 24L, 17L, 6L, 18L, 6L, 24L, 18L, 
    24L, 18L, 62L, 7L, 52L, 9L, 24L, 8L, 44L, 7L, 24L, 23L, 51L, 
    2L, 24L, 44L, 3L, 62L, 18L, 62L, 62L, 24L, 29L, 18L, 40L, 
    52L, 6L, 22L, 24L, 60L, 24L, 20L, 20L, 6L, 2L, 2L, 10L, 20L, 
    10L, 29L, 20L, 18L, 18L, 9L, 9L, 62L, 64L, 18L, 24L, 8L, 
    44L, 2L, 44L, 23L, 22L, 24L, 18L, 18L, 18L, 64L, 29L, 62L, 
    52L, 24L, 18L, 24L, 6L, 24L, 60L, 24L, 24L, 24L, 9L, 24L, 
    23L, 24L, 2L, 18L, 24L, 24L, 51L, 24L, 6L, 18L, 9L, 52L, 
    18L, 62L, 23L, 33L, 18L, 8L, 10L, 24L, 64L, 3L, 24L, 6L, 
    24L, 53L, 36L, 18L, 6L, 6L, 36L, 2L, 9L, 50L, 8L, 9L, 24L, 
    24L, 24L, 58L, 2L, 44L, 24L, 30L, 52L, 24L, 24L, 62L, 10L, 
    24L, 30L, 6L, 52L, 24L, 24L, 18L, 60L, 24L, 62L, 62L, 62L, 
    24L, 24L, 62L, 62L, 18L, 24L, 18L, 18L, 9L, 18L, 24L, 62L, 
    2L, 20L, 9L, 36L, 24L, 2L, 24L, 10L, 29L, 10L, 18L, 9L, 24L, 
    24L, 20L, 8L, 24L, 18L, 18L, 60L, 9L, 58L, 24L, 22L, 24L, 
    6L, 37L, 24L, 24L, 67L, 51L, 9L, 43L, 6L, 24L, 6L, 46L, 6L, 
    18L, 52L, 18L, 18L, 6L, 44L, 24L, 24L, 52L, 24L, 18L, 10L, 
    18L, 24L, 24L, 24L, 18L, 52L, 24L, 24L, 2L, 18L, 52L, 24L, 
    20L, 2L, 24L, 18L, 9L, 38L, 24L, 18L, 9L, 22L, 20L, 18L, 
    9L, 58L, 24L, 67L, 2L, 24L, 20L, 22L, 10L, 6L, 51L, 23L, 
    29L, 18L, 24L, 24L, 18L, 9L, 52L, 20L, 54L, 62L, 20L, 8L, 
    24L, 15L, 24L, 62L, 9L, 18L, 24L, 18L, 24L, 6L, 18L, 52L, 
    18L, 24L, 60L, 24L, 24L, 18L, 37L, 24L, 24L, 62L, 9L, 24L, 
    29L, 9L, 24L, 9L, 44L, 24L, 24L, 9L, 44L, 9L, 9L, 51L, 24L, 
    60L, 44L, 13L, 18L, 17L, 24L, 13L, 9L, 18L, 24L, 24L, 2L, 
    23L, 24L, 24L, 2L, 51L, 6L, 18L, 24L, 6L, 60L, 20L, 62L, 
    2L, 53L, 62L, 18L, 36L, 30L, 18L, 24L, 18L, 18L, 18L, 18L, 
    29L, 6L, 9L, 6L, 6L, 2L, 6L, 18L, 62L, 24L, 8L, 3L, 17L, 
    24L, 6L, 8L, 60L, 20L, 24L, 2L, 24L, 24L, 6L, 18L, 24L, 44L, 
    24L, 6L, 24L, 29L, 62L, 18L, 62L, 52L, 20L, 6L, 6L, 64L, 
    61L, 6L, 62L, 24L, 24L, 22L, 67L, 46L, 24L, 6L, 24L, 24L, 
    52L, 17L, 18L, 24L, 24L, 62L, 24L, 18L, 24L, 24L, 28L, 6L, 
    6L, 6L, 20L, 62L, 18L, 20L, 20L, 18L, 2L, 20L, 24L, 22L, 
    24L, 6L, 24L, 18L, 18L, 24L, 18L, 67L, 24L, 24L, 22L, 2L, 
    9L, 25L, 23L, 6L, 24L, 44L, 24L, 11L, 6L, 17L, 29L, 24L, 
    24L, 24L, 18L, 2L, 6L, 2L, 18L, 52L, 6L, 52L, 24L, 2L, 18L, 
    22L, 24L, 58L, 6L, 24L, 6L, 10L, 29L, 23L, 6L, 18L, 9L, 52L, 
    20L, 62L, 24L, 54L, 24L, 44L, 24L, 18L, 62L, 58L, 30L, 52L, 
    24L, 24L, 24L, 9L, 9L, 20L, 18L, 37L, 24L, 23L, 6L, 52L, 
    62L, 9L, 24L, 7L, 44L, 18L, 18L, 50L, 24L, 24L, 24L, 24L, 
    24L, 8L, 18L, 52L, 24L, 24L, 24L, 6L, 10L, 24L, 29L, 62L, 
    6L, 53L, 18L, 18L, 9L, 24L, 24L, 24L, 6L, 2L, 67L, 10L, 18L, 
    22L, 6L, 18L, 37L, 24L, 18L, 24L, 24L, 18L, 24L, 24L, 62L, 
    58L, 62L, 24L, 24L, 10L, 24L, 22L, 20L, 18L, 30L, 9L, 24L, 
    24L, 18L, 8L, 52L, 52L, 24L, 44L, 6L, 24L, 24L, 24L, 24L, 
    63L, 9L, 20L, 24L, 43L, 24L, 9L, 2L, 18L, 23L, 37L, 24L, 
    2L, 18L, 2L, 6L, 9L, 6L, 24L, 67L, 6L, 24L, 6L, 18L, 24L, 
    24L, 24L, 24L, 9L, 20L, 52L, 13L, 24L, 62L, 18L, 2L, 24L, 
    24L, 24L, 51L, 62L, 18L, 24L, 52L, 60L, 64L, 24L, 18L, 9L, 
    7L, 24L, 24L, 18L, 9L, 20L, 24L, 24L, 31L, 24L, 23L, 24L, 
    9L, 18L, 58L, 6L, 20L, 22L, 23L, 52L, 18L, 6L, 18L, 24L, 
    24L, 6L, 37L, 24L, 10L, 24L, 18L, 24L, 56L, 24L, 64L, 24L, 
    20L, 44L, 18L, 6L, 7L, 22L, 44L, 6L, 52L, 24L, 44L, 18L, 
    62L, 6L, 18L, 17L, 44L, 18L, 18L, 24L, 52L, 9L, 24L, 6L, 
    44L, 6L, 20L, 29L, 44L, 24L, 6L, 57L), .Label = c("",
".COM",
    "A", "aaa", "ab", "abc",
"ACT", "aoap", "api", "API",
"app",
    "APP", "AUTH", "B", "bbb",
"BROWSER", "BULK", "C", "Canvas",
    "CCC", "cccc", "cert", "Change
Sets", "CODE", "Community",
    "COMMUNITY", "CONNECT", "DATABASE",
"DEPLOYMENT", "DESIGN",
    "DEV", "Development", "DOMAIN",
"Email", "hello", "hmm",
    "IDE", "ISP", "LLM", "LOG",
"maintain", "manager", "message",
    "NEW", "NEW1", "new11", "new11111",
"New2", "new3", "no",
    "Oauth", "on", "open", "Other",
"post", "quick", "REST",
    "SAML", "secure", "Site.com",
"SLOWNES", "soo", "SOSL", "sql",
    "sso", "TOKEN", "YES"), class =
"factor"), score = c(9L,
    10L, 2L, 10L, 10L, 2L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 
    2L, 10L, 4L, 4L, 10L, 9L, 10L, 10L, 10L, 10L, 5L, 9L, 10L, 
    8L, 10L, 10L, 10L, 10L, 10L, 10L, 1L, 9L, 8L, 10L, 10L, 10L, 
    10L, 9L, 10L, 10L, 10L, 9L, 10L, 8L, 8L, 10L, 9L, 8L, 7L, 
    8L, 9L, 10L, 10L, 8L, 10L, 10L, 10L, 8L, 10L, 10L, 8L, 8L, 
    10L, 10L, 10L, 10L, 10L, 10L, 8L, 5L, 8L, 9L, 10L, 10L, 10L, 
    10L, 8L, 10L, 9L, 7L, 8L, 10L, 10L, 10L, 6L, 9L, 10L, 10L, 
    10L, 9L, 9L, 10L, 10L, 10L, 6L, 8L, 10L, 10L, 9L, 6L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 8L, 1L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 7L, 10L, 
    0L, 10L, 10L, 6L, 0L, 8L, 10L, 10L, 10L, 10L, 1L, 8L, 1L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 6L, 10L, 9L, 10L, 9L, 4L, 8L, 10L, 10L, 10L, 
    10L, 10L, 0L, 9L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 8L, 9L, 
    10L, 10L, 10L, 6L, 9L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 
    9L, 6L, 9L, 10L, 10L, 9L, 7L, 8L, 10L, 10L, 10L, 10L, 10L, 
    8L, 0L, 10L, 8L, 9L, 10L, 10L, 10L, 10L, 10L, 8L, 9L, 9L, 
    10L, 9L, 9L, 8L, 10L, 10L, 9L, 10L, 10L, 7L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 6L, 10L, 10L, 10L, 10L, 10L, 1L, 9L, 7L, 10L, 
    2L, 9L, 9L, 6L, 8L, 8L, 10L, 10L, 10L, 10L, 9L, 9L, 10L, 
    10L, 8L, 8L, 10L, 10L, 8L, 8L, 10L, 4L, 10L, 8L, 10L, 9L, 
    9L, 10L, 10L, 7L, 10L, 4L, 10L, 8L, 10L, 10L, 9L, 9L, 6L, 
    10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 8L, 10L, 10L, 10L, 
    8L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 9L, 6L, 10L, 
    9L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 3L, 10L, 
    10L, 10L, 10L, 2L, 10L, 10L, 0L, 10L, 0L, 10L, 10L, 10L, 
    10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 10L, 10L, 8L, 9L, 10L, 
    9L, 0L, 10L, 10L, 8L, 10L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 
    8L, 9L, 9L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 6L, 7L, 10L, 10L, 10L, 10L, 
    10L, 10L, 8L, 10L, 8L, 10L, 10L, 10L, 8L, 10L, 10L, 10L, 
    10L, 10L, 10L, 8L, 9L, 10L, 10L, 1L, 10L, 9L, 10L, 10L, 10L, 
    9L, 10L, 10L, 6L, 9L, 9L, 8L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 0L, 0L, 10L, 8L, 8L, 10L, 10L, 8L, 9L, 9L, 10L, 
    10L, 10L, 10L, 10L, 2L, 8L, 10L, 8L, 10L, 8L, 10L, 8L, 10L, 
    10L, 8L, 8L, 0L, 8L, 8L, 10L, 10L, 10L, 8L, 1L, 8L, 10L, 
    2L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 4L, 8L, 10L, 10L, 
    10L, 10L, 10L, 10L, 10L, 10L, 3L, 10L, 10L, 10L, 10L, 8L, 
    10L, 10L, 10L, 7L, 9L, 9L, 10L, 10L, 8L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 8L, 10L, 10L, 
    10L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 0L, 
    6L, 9L, 10L, 9L, 7L, 8L, 10L, 10L, 7L, 9L, 10L, 10L, 10L, 
    10L, 0L, 10L, 10L, 10L, 7L, 10L, 10L, 8L, 10L, 10L, 10L, 
    9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 
    9L, 10L, 8L, 10L, 9L, 10L, 10L, 10L, 9L, 8L, 10L, 10L, 10L, 
    6L, 10L, 10L, 9L, 10L, 8L, 10L, 0L, 10L, 8L, 9L, 9L, 9L, 
    10L, 10L, 10L, 10L, 10L, 8L, 2L, 10L, 10L, 8L, 10L, 9L, 10L, 
    9L, 10L, 0L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 5L, 
    10L, 10L, 10L, 8L, 7L, 10L, 10L, 9L, 7L, 10L, 5L, 8L, 9L, 
    10L, 10L, 8L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 1L, 7L, 10L, 7L, 10L, 0L, 9L, 7L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 10L, 10L, 8L, 10L, 8L, 10L, 8L, 10L, 
    9L, 9L, 8L, 9L, 10L, 9L, 10L, 10L, 2L, 10L, 10L, 10L, 10L, 
    10L, 0L, 10L, 8L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 8L, 8L, 
    9L, 9L, 7L, 7L, 5L, 9L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 
    9L, 5L, 10L, 8L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 8L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 7L, 10L, 10L, 6L, 6L, 
    10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 
    8L, 10L, 10L, 10L, 9L, 10L, 8L, 10L, 9L, 9L, 10L, 9L, 9L, 
    10L, 10L, 10L, 10L, 10L, 6L, 8L, 10L, 10L, 9L, 10L, 10L, 
    10L, 10L, 10L, 10L, 8L, 10L, 10L, 9L, 10L, 2L, 10L, 9L, 9L, 
    10L, 10L, 10L, 9L, 10L, 10L, 10L, 9L, 10L, 10L, 10L, 10L, 
    10L, 8L, 10L, 10L, 8L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 
    10L, 9L, 10L, 10L, 9L, 8L, 8L, 9L, 10L, 0L, 0L, 2L, 9L, 10L, 
    10L, 8L, 10L, 6L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    5L, 10L, 8L, 10L, 10L, 9L, 0L, 10L, 10L, 10L, 9L, 1L, 9L, 
    10L, 8L, 2L, 10L, 10L, 8L, 10L, 10L, 10L, 10L, 10L, 9L, 9L, 
    2L, 10L, 8L, 8L, 10L, 10L, 3L, 10L, 10L, 10L, 9L, 10L, 10L, 
    8L, 10L, 7L, 10L, 10L, 10L, 10L, 10L, 10L, 6L, 0L, 4L, 9L, 
    8L, 10L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 9L, 
    10L, 10L, 10L, 10L, 10L, 9L, 9L, 7L, 8L, 10L, 8L, 10L, 8L, 
    10L, 8L, 7L, 10L, 10L, 8L, 9L, 10L, 10L, 9L, 10L, 9L, 10L, 
    10L, 10L, 9L, 10L, 9L, 9L, 10L, 10L, 8L, 9L, 10L, 10L, 0L, 
    10L, 10L, 10L, 9L, 10L, 10L, 9L, 10L, 10L, 10L, 6L, 10L, 
    10L, 10L, 10L, 10L, 9L, 4L, 9L, 10L, 1L, 9L, 9L, 10L, 7L, 
    9L, 10L, 10L, 10L, 10L, 9L, 10L, 9L, 10L, 2L, 10L, 9L, 7L, 
    9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 1L), rep_score = c(9.5, 
    10, 2, 10, 10, 3.5, 7.5, 10, 10, 10, 10, 10, 10, 2, 10, 7.5, 
    6, 10, 9.5, 10, 9, 10, 10, 5.5, 9, 10, 8, 10, 10, 10, 10, 
    10, 9.5, 1.5, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 9.5, 
    10, 10, 8, 10, 10, 9.5, 6, 9, 9, 10, 10, 7.5, 10, 10, 10, 
    7.5, 10, 10, 8, 9, 10, 10, 10, 10, 10, 10, 7.5, 7.5, 7.5, 
    9, 10, 10, 10, 10, 7.5, 10, 9, 7.5, 8, 10, 10, 10, 7.5, 9.5, 
    10, 9.5, 10, 10, 8.5, 10, 9, 9.5, 9.5, 8, 10, 10, 9, 9, 10, 
    10, 9, 10, 10, 10, 10, 9.5, 2, 10, 9, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 10, 8, 10, 9.3, 10, 10, 7.5, 9.3, 
    8, 9, 10, 10, 9.5, 6.5, 7.5, 6, 10, 10, 10, 10, 10, 10, 10, 
    10, 10, 10, 10, 10, 10, 10, 10, 6, 7, 8.5, 9.5, 9.5, 5, 7.5, 
    10, 10, 10, 8, 10, 6, 8, 6.5, 10, 10, 10, 9, 10, 10, 8, 8.5, 
    10, 10, 10, 7.5, 9, 8, 10, 10, 10, 10, 10, 10, 9, 7, 10, 
    10, 10, 9, 7.5, 9.5, 10, 9, 10, 10, 10, 8, 9.3, 10, 9, 10, 
    10, 10, 9.5, 10, 10, 8, 9, 9, 10, 10, 10, 8, 10, 10, 9.5, 
    10, 9, 7.5, 10, 10, 10, 8.5, 10, 9.5, 10, 10, 10, 10, 10, 
    10, 9, 10, 10, 10, 10, 10, 5, 10, 10, 10, 10, 10, 4, 9, 7, 
    10, 4, 8.5, 8.5, 6.5, 7.5, 8.5, 10, 10, 10, 10, 8.5, 8, 9, 
    10, 9, 8, 10, 10, 8, 10, 10, 8.5, 10, 8, 10, 9, 9.5, 10, 
    9, 7.5, 10, 4.5, 9.5, 8, 10, 10, 9.5, 8.5, 8, 10, 10, 10, 
    10, 10, 10, 9, 10, 9, 10, 9.5, 8, 8, 10, 10, 9.5, 10, 8.5, 
    10, 9, 10, 10, 7.5, 7, 10, 9.5, 10, 10, 10, 7, 9.5, 10, 10, 
    10, 10, 4, 10, 10, 10, 10, 7, 10, 10, 10, 10, 9.3, 10, 10, 
    10, 10, 10, 10, 9, 10, 10, 10, 10, 10, 10, 7.5, 10, 10, 9, 
    6, 10, 10, 9.5, 10, 8.5, 10, 10, 10, 10, 10, 10, 10, 9.5, 
    9.5, 10, 9, 10, 9.5, 10, 10, 10, 10, 10, 10, 10, 10, 10, 
    9.5, 9, 10, 6, 9, 10, 10, 9.5, 10, 10, 10, 9.5, 10, 8, 10, 
    10, 10, 8.5, 10, 9.5, 10, 10, 10, 10, 8, 10, 10, 10, 4.5, 
    10, 10, 10, 10, 10, 9, 9, 10, 6, 10, 9.5, 8, 10, 10, 10, 
    9, 10, 10, 10, 9.5, 7, 9.3, 10, 10, 8.5, 10, 10, 8, 10, 9.5, 
    10, 10, 10, 10, 9.5, 5.5, 8, 10, 7.5, 10, 7.5, 10, 8, 10, 
    10, 8, 8.5, 9.3, 8, 8, 10, 10, 10, 9.5, 1.5, 8, 10, 7, 10, 
    10, 10, 10, 10, 10, 10, 7.5, 8, 10, 10, 10, 10, 10, 10, 10, 
    10, 7.5, 10, 10, 10, 10, 7.5, 10, 10, 10, 8, 9, 9, 10, 10, 
    9, 10, 9.5, 10, 10, 10, 10, 10, 10, 9, 10, 10, 10, 10, 8, 
    10, 10, 8.5, 8, 10, 10, 10, 10, 10, 10, 10, 10, 10, 7, 7, 
    9, 10, 9, 10, 8, 10, 10, 7.5, 10, 10, 10, 10, 10, 6.5, 10, 
    10, 10, 9.5, 10, 10, 9, 10, 10, 10, 9, 10, 9.5, 10, 10, 10, 
    10, 10, 10, 10, 9.5, 10, 9, 10, 9, 10, 9, 10, 10, 10, 9.5, 
    7.5, 10, 10, 10, 4.5, 10, 9, 9.5, 10, 8, 10, 1, 10, 8, 8, 
    10, 10, 10, 10, 10, 10, 10, 8, 3.5, 10, 10, 8.5, 10, 9.5, 
    10, 10, 10, 3, 10, 10, 10, 10, 10, 10, 10, 10, 5, 10, 10, 
    10, 8, 7, 10, 10, 9, 5.5, 8, 5, 5, 9, 10, 10, 8, 9, 10, 9, 
    10, 10, 10, 9.5, 10, 10, 10, 10, 10, 1, 7.5, 10, 9, 10, 9.3, 
    10, 10, 10, 8.5, 10, 10, 10, 10, 9, 10, 10, 8, 7.5, 8, 10, 
    8.5, 10, 9, 8.5, 7.5, 8.5, 10, 9, 10, 10, 3.5, 10, 10, 10, 
    10, 10, 6, 10, 8, 10, 10, 10, 10, 10, 10, 10, 8, 8.5, 9, 
    9, 8, 8.5, 5.5, 7.5, 10, 10, 10, 10, 9, 10, 9.5, 8, 5, 10, 
    10, 10, 10, 8, 10, 9, 10, 10, 10, 9, 10, 10, 10, 10, 10, 
    10, 10, 5.5, 10, 10, 9, 4.5, 10, 10, 10, 10, 10, 9.5, 10, 
    10, 10, 9, 10, 10, 10, 9.5, 10, 10, 10, 10, 10, 10, 9.5, 
    10, 10, 8.5, 10, 8.5, 10, 10, 10, 9.5, 10, 8, 10, 9.5, 9.5, 
    10, 9.5, 10, 10, 10, 10, 10, 10, 5.5, 8, 10, 10, 9, 10, 10, 
    10, 10, 10, 10, 8.5, 9.5, 10, 8.5, 10, 5, 10, 9.5, 9.5, 10, 
    10, 10, 8, 10, 10, 10, 8.5, 10, 10, 10, 10, 10, 6, 10, 10, 
    7.5, 8.5, 10, 10, 10, 10, 10, 10, 10, 10, 9, 10, 8.5, 8, 
    9.5, 10, 10, 9.3, 9.3, 8, 9, 10, 10, 8, 10, 8, 10, 10, 10, 
    10, 8.5, 10, 10, 10, 5, 10, 9, 10, 10, 9, 9.3, 10, 10, 10, 
    10, 2.5, 9, 10, 10, 2, 9.5, 10, 8, 10, 10, 10, 10, 10, 9, 
    8.5, 5.5, 10, 8, 9.5, 10, 10, 6, 10, 10, 10, 9.5, 10, 9.5, 
    6.5, 10, 10, 10, 10, 10, 10, 10, 10, 6, 9.3, 8, 8.5, 9, 10, 
    9.5, 10, 10, 10, 10, 10, 10, 10, 10, 9, 10, 10, 10, 10, 10, 
    9.5, 9.5, 8.5, 9, 10, 8, 10, 9, 10, 10, 9, 10, 10, 8.5, 9.5, 
    10, 10, 9.5, 10, 9, 8, 10, 10, 9, 10, 8, 9, 10, 10, 6, 9.5, 
    9.5, 10, 9.3, 10, 10, 10, 9, 10, 10, 10, 9.5, 10, 10, 6, 
    10, 10, 10, 10, 10, 9, 4.5, 8.5, 10, 5, 9, 9, 10, 6, 9, 10, 
    9.5, 9.5, 10, 9.5, 10, 7.5, 10, 3, 10, 9.5, 10, 9, 9, 9.5, 
    10, 10, 10, 10, 10, 10, 10, 2), product_know = structure(c(5L, 
    5L, 6L, 5L, 2L, 4L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 5L, 
    11L, 10L, 5L, 5L, 5L, 12L, 5L, 5L, 10L, 13L, 5L, 12L, 5L, 
    5L, 5L, 5L, 5L, 13L, 4L, 13L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 12L, 5L, 5L, 5L, 10L, 13L, 13L, 5L, 5L, 
    12L, 5L, 5L, 5L, 12L, 5L, 5L, 13L, 13L, 5L, 5L, 5L, 5L, 5L, 
    5L, 12L, 9L, 13L, 13L, 5L, 5L, 5L, 5L, 12L, 5L, 13L, 11L, 
    12L, 5L, 5L, 5L, 11L, 13L, 5L, 13L, 5L, 5L, 12L, 5L, 12L, 
    13L, 13L, 12L, 5L, 5L, 13L, 13L, 5L, 5L, 13L, 5L, 5L, 5L, 
    5L, 13L, 6L, 5L, 13L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 12L, 5L, 3L, 5L, 5L, 11L, 3L, 12L, 13L, 5L, 5L, 
    13L, 10L, 13L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 10L, 11L, 12L, 5L, 5L, 10L, 11L, 5L, 
    5L, 5L, 12L, 5L, 10L, 12L, 9L, 5L, 5L, 5L, 13L, 5L, 5L, 12L, 
    13L, 5L, 5L, 5L, 12L, 13L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 13L, 
    11L, 5L, 5L, 5L, 12L, 12L, 13L, 5L, 13L, 5L, 5L, 5L, 12L, 
    3L, 5L, 12L, 5L, 5L, 5L, 13L, 5L, 5L, 12L, 5L, 13L, 5L, 5L, 
    5L, 12L, 5L, 5L, 13L, 5L, 5L, 13L, 5L, 5L, 5L, 11L, 5L, 5L, 
    5L, 5L, 5L, 5L, 2L, 5L, 12L, 5L, 5L, 5L, 5L, 5L, 12L, 5L, 
    5L, 5L, 5L, 5L, 9L, 13L, 11L, 5L, 8L, 13L, 13L, 10L, 11L, 
    12L, 5L, 5L, 5L, 5L, 13L, 12L, 13L, 5L, 13L, 12L, 5L, 5L, 
    12L, 5L, 5L, 11L, 5L, 2L, 5L, 13L, 13L, 5L, 5L, 12L, 5L, 
    9L, 13L, 12L, 5L, 5L, 13L, 13L, 10L, 5L, 5L, 5L, 5L, 5L, 
    5L, 13L, 5L, 13L, 5L, 13L, 11L, 12L, 5L, 5L, 5L, 5L, 13L, 
    5L, 13L, 5L, 5L, 13L, 12L, 5L, 13L, 5L, 5L, 5L, 12L, 13L, 
    5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L, 12L, 5L, 5L, 5L, 5L, 
    3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 11L, 
    5L, 5L, 13L, 10L, 5L, 5L, 13L, 5L, 12L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 13L, 5L, 13L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 13L, 5L, 10L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 12L, 5L, 5L, 5L, 13L, 5L, 13L, 5L, 5L, 5L, 5L, 2L, 
    5L, 5L, 5L, 10L, 5L, 5L, 5L, 5L, 5L, 13L, 13L, 5L, 10L, 5L, 
    13L, 12L, 5L, 5L, 5L, 13L, 5L, 5L, 5L, 13L, 10L, 3L, 5L, 
    5L, 13L, 5L, 5L, 12L, 5L, 13L, 5L, 5L, 2L, 5L, 13L, 13L, 
    13L, 5L, 12L, 5L, 12L, 5L, 12L, 5L, 5L, 12L, 13L, 3L, 12L, 
    12L, 5L, 5L, 5L, 13L, 6L, 12L, 5L, 12L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 12L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 10L, 5L, 
    5L, 5L, 5L, 11L, 5L, 5L, 5L, 12L, 13L, 12L, 5L, 5L, 13L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 13L, 5L, 5L, 5L, 5L, 12L, 
    5L, 5L, 5L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 12L, 
    11L, 13L, 5L, 13L, 5L, 12L, 5L, 5L, 12L, 5L, 5L, 5L, 5L, 
    5L, 10L, 5L, 5L, 5L, 13L, 5L, 5L, 13L, 5L, 5L, 5L, 13L, 5L, 
    13L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 13L, 5L, 13L, 5L, 
    13L, 5L, 5L, 5L, 13L, 11L, 5L, 5L, 5L, 10L, 5L, 13L, 5L, 
    5L, 12L, 5L, 3L, 5L, 12L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    12L, 6L, 5L, 5L, 13L, 5L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 9L, 5L, 5L, 5L, 12L, 11L, 5L, 5L, 13L, 
    7L, 10L, 9L, 10L, 13L, 5L, 5L, 12L, 12L, 5L, 13L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 12L, 5L, 13L, 5L, 3L, 5L, 
    5L, 5L, 12L, 5L, 5L, 5L, 5L, 13L, 5L, 5L, 12L, 11L, 12L, 
    5L, 12L, 5L, 13L, 13L, 11L, 13L, 5L, 13L, 5L, 5L, 10L, 5L, 
    5L, 5L, 5L, 5L, 10L, 5L, 12L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    12L, 13L, 13L, 13L, 12L, 13L, 9L, 12L, 5L, 5L, 5L, 5L, 13L, 
    5L, 13L, 13L, 9L, 5L, 5L, 5L, 5L, 12L, 5L, 13L, 5L, 5L, 5L, 
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    6L, 5L, 13L, 5L, 13L, 13L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
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    0.02, 0.14, 0.01, 5.04, 1.23, 27.99, 8.97, 24.05, 113.85, 
    20.15, 10.06, 1.15, 0.05, 12.79, 10.04, 0.1, 2.19, 0.01, 
    0.01, 18.23, 1.94, 0.31, 0.03, 7.83, 0.09, 3.41, 1.16, 0.12, 
    2.16, 2.99, 13.87, 1.15, 1, 0.96, 3.08, 6.13, 1.05, 0.06, 
    0.23, 0.07, 0.89, 1.94, 0.04, 1.01, 19.78, 1.9, 1.01, 7.11, 
    0.02, 0, 0.03, 0.07, 0.06, 8.01, 3.44, 16.77, 1.76, 1.06, 
    13.07, 1.01, 52.08, 1.02, 0.27, 0.04, 0.85, 4.15, 0.01, 0.1, 
    0.02, 10.14, 5.88, 0.01, 4.22, 53.82, 4.96, 0.1, 14.1, 0.05, 
    0.07, 32.79, 0.03, 1.4, 7.01, 15.21, 18.44, 0.07, 9.02, 6.9, 
    25.62, 2.58, 5.93, 15.02, 0.01, 16.89, 4.96, 10.14, 7.11, 
    0.11, 2.7, 4.07, 1.09, 0.06, 0.25, 0.88, 21.88, 0, 0.04, 
    23.18), severity_level = structure(c(2L, 2L, 5L, 3L, 2L, 
    5L, 5L, 2L, 2L, 2L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 5L, 2L, 
    3L, 3L, 5L, 3L, 2L, 3L, 5L, 2L, 5L, 2L, 5L, 3L, 2L, 2L, 3L, 
    3L, 3L, 3L, 5L, 3L, 2L, 5L, 5L, 5L, 2L, 2L, 2L, 3L, 3L, 3L, 
    3L, 5L, 3L, 5L, 2L, 3L, 3L, 3L, 5L, 2L, 3L, 5L, 3L, 2L, 5L, 
    3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 5L, 3L, 3L, 3L, 3L, 
    3L, 2L, 5L, 2L, 3L, 5L, 2L, 3L, 2L, 3L, 3L, 2L, 5L, 3L, 3L, 
    5L, 5L, 3L, 3L, 2L, 3L, 5L, 3L, 2L, 3L, 5L, 3L, 5L, 5L, 3L, 
    3L, 2L, 3L, 5L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 2L, 3L, 5L, 3L, 
    5L, 3L, 3L, 2L, 3L, 3L, 3L, 5L, 3L, 5L, 5L, 2L, 5L, 5L, 2L, 
    3L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 5L, 5L, 3L, 3L, 
    3L, 5L, 5L, 3L, 2L, 3L, 5L, 2L, 2L, 3L, 3L, 2L, 5L, 5L, 3L, 
    3L, 3L, 3L, 3L, 3L, 5L, 2L, 5L, 2L, 2L, 3L, 3L, 3L, 5L, 3L, 
    2L, 3L, 3L, 2L, 5L, 5L, 3L, 2L, 5L, 3L, 5L, 5L, 3L, 3L, 2L, 
    3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 5L, 3L, 3L, 5L, 3L, 5L, 5L, 
    2L, 3L, 2L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 5L, 5L, 3L, 3L, 5L, 
    5L, 2L, 3L, 5L, 5L, 3L, 2L, 3L, 3L, 3L, 5L, 5L, 5L, 2L, 2L, 
    5L, 5L, 5L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 
    3L, 3L, 5L, 2L, 5L, 2L, 3L, 5L, 3L, 2L, 2L, 3L, 3L, 5L, 5L, 
    2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 
    2L, 3L, 2L, 5L, 5L, 3L, 2L, 3L, 5L, 3L, 3L, 2L, 3L, 2L, 5L, 
    5L, 2L, 5L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 2L, 3L, 
    5L, 3L, 3L, 3L, 3L, 5L, 2L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 2L, 
    3L, 2L, 5L, 2L, 5L, 2L, 3L, 3L, 5L, 3L, 3L, 5L, 3L, 2L, 5L, 
    3L, 3L, 3L, 3L, 5L, 3L, 3L, 2L, 3L, 5L, 2L, 3L, 3L, 3L, 5L, 
    2L, 3L, 3L, 2L, 5L, 2L, 5L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 
    3L, 3L, 3L, 5L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 5L, 2L, 5L, 3L, 
    3L, 2L, 5L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 5L, 2L, 2L, 3L, 3L, 
    3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 2L, 3L, 5L, 2L, 3L, 2L, 3L, 
    5L, 2L, 3L, 2L, 5L, 3L, 5L, 3L, 3L, 3L, 5L, 5L, 3L, 5L, 2L, 
    3L, 3L, 3L, 5L, 5L, 5L, 5L, 3L, 2L, 2L, 3L, 5L, 3L, 2L, 2L, 
    2L, 2L, 3L, 5L, 2L, 3L, 3L, 5L, 2L, 5L, 3L, 3L, 2L, 5L, 2L, 
    5L, 2L, 3L, 5L, 3L, 5L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 5L, 3L, 
    3L, 5L, 5L, 5L, 3L, 3L, 5L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 5L, 
    3L, 3L, 3L, 5L, 3L, 3L, 5L, 5L, 3L, 3L, 2L, 2L, 3L, 5L, 2L, 
    3L, 2L, 3L, 2L, 2L, 5L, 5L, 3L, 2L, 3L, 3L, 2L, 3L, 5L, 3L, 
    3L, 5L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 5L, 3L, 
    3L, 2L, 3L, 3L, 2L, 3L, 5L, 3L, 5L, 5L, 5L, 3L, 3L, 2L, 3L, 
    5L, 3L, 5L, 3L, 2L, 3L, 3L, 5L, 5L, 3L, 3L, 5L, 5L, 3L, 3L, 
    3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 5L, 2L, 2L, 2L, 
    3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 4L, 5L, 2L, 2L, 3L, 2L, 2L, 
    5L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 2L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 3L, 5L, 3L, 
    3L, 2L, 3L, 3L, 5L, 3L, 3L, 5L, 3L, 2L, 3L, 3L, 5L, 2L, 5L, 
    5L, 5L, 3L, 5L, 5L, 2L, 5L, 3L, 2L, 2L, 5L, 5L, 5L, 3L, 3L, 
    5L, 5L, 3L, 3L, 2L, 5L, 5L, 5L, 3L, 2L, 5L, 2L, 2L, 3L, 3L, 
    5L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 5L, 5L, 3L, 5L, 
    3L, 3L, 2L, 3L, 5L, 5L, 3L, 2L, 5L, 3L, 3L, 2L, 3L, 2L, 5L, 
    2L, 2L, 2L, 5L, 5L, 2L, 3L, 2L, 2L, 5L, 2L, 2L, 5L, 3L, 3L, 
    3L, 5L, 3L, 5L, 3L, 3L, 2L, 3L, 2L, 5L, 2L, 2L, 3L, 3L, 5L, 
    3L, 3L, 5L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    5L, 5L, 3L, 5L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
    5L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 5L, 3L, 2L, 3L, 3L, 2L, 2L, 
    3L, 5L, 3L, 3L, 3L, 5L, 3L, 3L, 2L, 5L, 2L, 2L, 3L, 3L, 5L, 
    3L, 2L, 3L, 3L, 3L, 2L, 5L, 5L, 5L, 3L, 3L, 2L, 3L, 3L, 2L, 
    5L, 2L, 5L, 3L, 3L, 3L, 3L, 2L, 2L, 5L, 3L, 3L, 2L, 2L, 2L, 
    3L, 2L, 5L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 3L, 
    2L, 3L, 5L, 2L, 2L, 2L, 3L, 2L, 5L, 5L, 3L, 3L, 3L, 5L, 5L, 
    2L, 3L, 5L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 5L, 2L, 5L, 3L, 
    3L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 5L, 3L, 2L, 
    5L, 3L, 5L, 5L, 3L, 5L, 3L, 5L, 3L, 2L, 3L, 3L, 5L, 3L, 3L, 
    2L, 2L, 3L, 5L, 3L, 3L, 5L, 3L, 3L, 2L, 5L, 3L, 5L, 5L, 3L, 
    2L, 3L, 3L, 2L, 5L, 3L, 3L, 2L, 3L, 3L, 5L, 2L, 3L, 3L, 3L, 
    5L, 2L, 5L, 2L, 2L, 3L, 3L, 3L, 2L, 5L, 5L, 5L, 2L, 3L, 2L, 
    2L, 5L, 3L, 5L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 5L, 
    3L, 5L, 2L, 3L, 3L, 5L, 3L, 3L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 
    5L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 
    3L, 3L, 2L, 3L, 2L), .Label = c("", "high",
"medium", "no",
    "none"), class = "factor"), case_status =
structure(c(2L,
    6L, 3L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    3L, 3L, 6L, 8L, 6L, 6L, 8L, 4L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 
    6L, 6L, 4L, 8L, 6L, 6L, 8L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 
    8L, 8L, 6L, 8L, 6L, 6L, 10L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 
    6L, 6L, 3L, 6L, 6L, 6L, 8L, 3L, 8L, 6L, 8L, 8L, 6L, 6L, 2L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 4L, 
    8L, 6L, 6L, 6L, 4L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 8L, 4L, 6L, 3L, 6L, 3L, 6L, 8L, 3L, 6L, 2L, 6L, 
    8L, 6L, 6L, 4L, 6L, 6L, 6L, 4L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 
    8L, 6L, 8L, 8L, 8L, 8L, 6L, 8L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 
    8L, 6L, 6L, 3L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    8L, 6L, 8L, 6L, 8L, 8L, 6L, 4L, 4L, 8L, 6L, 10L, 8L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 8L, 6L, 
    6L, 6L, 8L, 6L, 6L, 6L, 6L, 2L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    8L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 
    6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 
    6L, 4L, 6L, 6L, 6L, 3L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 3L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 8L, 6L, 3L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 2L, 
    6L, 6L, 6L, 8L, 10L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 4L, 
    6L, 6L, 8L, 6L, 6L, 6L, 3L, 6L, 6L, 6L, 6L, 8L, 6L, 4L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    8L, 6L, 6L, 8L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 4L, 6L, 
    6L, 8L, 8L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 4L, 8L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 10L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 8L, 6L, 4L, 6L, 6L, 6L, 
    6L, 6L, 2L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 4L, 2L, 6L, 6L, 
    6L, 4L, 6L, 2L, 8L, 6L, 6L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 4L, 
    6L, 6L, 4L, 6L, 6L, 6L, 4L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 
    3L, 6L, 6L, 8L, 8L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 2L, 
    6L, 6L, 8L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 
    8L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 3L, 4L, 6L, 6L, 6L, 3L, 8L, 
    6L, 6L, 6L, 6L, 4L, 6L, 6L, 8L, 6L, 3L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 10L, 6L, 6L, 
    6L, 4L, 6L, 6L, 6L, 6L, 2L, 6L, 6L, 6L, 6L, 2L, 6L, 4L, 6L, 
    6L, 10L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 2L, 6L, 6L, 6L, 
    6L, 6L, 8L, 6L, 6L, 10L, 6L, 3L, 6L, 4L, 6L, 8L, 8L, 6L, 
    4L, 6L, 6L, 6L, 8L, 6L, 8L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 3L, 4L, 6L, 8L, 6L, 8L, 8L, 2L, 4L, 6L, 6L, 4L, 6L, 6L, 
    6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 8L, 3L, 8L, 4L, 6L, 6L, 8L, 
    4L, 6L, 2L, 4L, 8L, 6L, 6L, 4L, 6L, 6L, 8L, 2L, 6L, 6L, 6L, 
    8L, 8L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 10L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 
    8L, 8L, 6L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 8L, 8L, 8L, 4L, 3L, 
    6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 
    4L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 8L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 6L, 
    4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 8L, 8L, 6L, 8L, 
    8L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 8L, 6L, 6L, 4L, 6L, 6L, 
    6L, 6L, 4L, 6L, 6L, 6L, 6L, 10L, 6L, 4L, 8L, 6L, 6L, 6L, 
    6L, 6L, 8L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 2L, 6L, 6L, 3L, 
    3L, 10L, 6L, 4L, 6L, 6L, 6L, 2L, 6L, 6L, 4L, 6L, 4L, 6L, 
    6L, 4L, 6L, 10L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 
    6L, 6L, 2L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 3L, 
    8L, 8L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 8L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 8L, 6L, 
    8L, 6L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 
    6L, 6L, 2L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 6L, 6L, 8L, 8L, 
    4L, 6L, 8L, 6L, 6L, 6L, 6L, 2L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    2L, 6L, 8L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 4L, 8L, 6L, 4L, 10L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 8L, 6L, 8L, 6L, 6L, 6L, 8L, 6L, 6L, 
    6L, 8L, 8L, 6L, 6L, 2L), .Label = c("", "closed",
"no resp",
    "oos", "pending", "Resolved",
"routed", "self closed", "Working",
    "yes"), class = "factor"), account_segment =
structure(c(4L,
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L), .Label = c("", "-",
"Flagship",
    "Large", "Low", "Medium", "Mega",
"N/A", "Platinum", "Small",
    "Top", "Very Small"), class = "factor"),
sla_status = structure(c(2L,
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("",
"Met",
    "Missed", "N/A", "Pending"), class =
"factor"), survey = c(1L,
    1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 
    1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 
    1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 
    1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 
    1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 
    1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
    0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 
    0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L), repS = c(1L, 1L, 0L, 
    1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    NA, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 
    0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 0L, NA, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 
    0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, NA, 1L, 1L, 1L, 0L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, NA, NA, 
    0L, 0L, NA, 1L, 1L, 1L, 1L, NA, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 
    0L, 1L, 1L, NA, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 
    0L, 1L, 1L, 1L, NA, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 0L, 0L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, NA, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
    1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    NA, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 
    1L, 0L, 1L, 0L, 1L, 1L, 0L, NA, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 
    0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 1L, 1L, NA, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 
    1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 
    1L, NA, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 
    1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 0L, 0L, 1L, NA, 1L, 1L, NA, 0L, NA, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, NA, 1L, 1L, 0L, NA, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, NA, 1L, 0L, 1L, 1L, 1L, 
    1L, 1L, 1L, 0L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 0L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 0L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 
    1L, NA, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 
    NA, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, NA, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, NA, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, NA, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 0L)), .Names = c("support_cat",
"region",
"support_lvl", "skill_group", "application_area",
"functional_area",
"score", "rep_score", "product_know",
"understanding_issue",
"case_age", "severity_level", "case_status",
"account_segment",
"sla_status", "survey", "repS"), row.names = c(NA,
1000L), class = "data.frame")