Dear Joe,
You need to use offset()
lm(y ~ a + offset(b) + c)
Best regards,
Thierry
----------------------------------------------------------------------------
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium
Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more than
asking him to perform a post-mortem examination: he may be able to say what the
experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure
that a reasonable answer can be extracted from a given body of data.
~ John Tukey
> -----Oorspronkelijk bericht-----
> Van: r-help-bounces at r-project.org [mailto:r-help-bounces at
r-project.org]
> Namens JoeP
> Verzonden: dinsdag 26 juli 2011 11:26
> Aan: r-help at r-project.org
> Onderwerp: [R] help with regression
>
> Hi,
>
> I am trying to do a linear regression but I want one of my variables to not
> generate a coefficient. E.g. what I want to do is fit for y=a+b+c but
forcing the
> coefficient of b to be 1. Is this possible?
>
> I have been fitting y-b=a+c but I have found that when I recalculate y it
is not
> close to the value. I have assumed that by fitting y-b then the y part has
become
> insignificant. In case it makes a difference I have been using lm rather
than glm.
>
> Thanks in advance,
>
> Joe
>
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