R help - Feb 2006 - Discriminant analysis to select best treatment

I am designing an experiment to trial several analytic techniques on
samples submitted to different treatments. It has occurred to me that I
may use discriminant analysis to find out which kind of analysis best
reveals differences between treatments.

I have found the lda {MASS} in R. However, I am not sure if it is
adequate to my case, since it performs linear discriminant analysis but
--apparently-- not variable selection. In SAS I would use the STEPDISC
procedure, whose description is:
"uses forward selection, backward elimination, or stepwise selection to
try to find a subset of quantitative variables that best reveals
differences among the classes."

I wonder if I could use lda or other function in that way. Maybe you
could point me to any resource (I am really new in discriminant analysis).

Thank you.

--------------------oOo--------------------
Felipe Mart??nez Pastor, Ph. D.
Ciencia y Tecnolog??a Agroforestal
ETSIA-UCLM
Av. Espa??a s/n
02071-Albacete (Spain)
Phone: +34 967 599 200+2581
Fax:   +34 967 599 238+2081
Mobile: +34 687 365 362
e-mail: Felipe.Martinez at uclm.es
Jabber: felipe.martinez at jabberes.org



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Employment rights for Spanish junior researchers.
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Hi.
I have found stepclass {klaR}, which is similar to what I was looking
for. However, I take note of your advice en stepwise variable selection.
Greetings.

Felipe

Alexandre Santos Aguiar wrote:
> Em Dom 12 Fev 2006 16:10, Felipe Mart??nez-Pastor escreveu:
>> --apparently-- not variable selection.
> 
> About automatic variable selection one should read this: 
> http://www.pitt.edu/~wpilib/statfaq/regrfaq.html
> 
> 
-- 
Ning??n investigador sin contrato.
Employment rights for Spanish junior researchers.
	http://www.precarios.org