[R] PLS LDA

[Christoph Lehmann]

Hi Andy

Great and thanks a lot! Yes, it is the package from Prof. Wehrens. So I
just run the PLS like a Logistic Regression, coding the endogenous
variable as binary. 
So no need of specifying a binary-link function (as we have to when
using glm)?
And yes of course: I need the LVs which give the best error rate. What
do you mean by "discretize the predictions in {0, 1}"? Does this mean I
assign a prediction either a 0 (if predicted values <=0.5) or a 1 if the
predicted value is >0.5?
I need to dive into the package tomorrow, so that I better understand
the material, but is there any way of calculating e.g. a leaving-one-out
cross-validation error?

Thanks and best regards

Christoph

On Wed, 2003-09-10 at 21:50, Liaw, Andy wrote:
> Do you mean the pls.pcr package by Prof. Wehrens?  This is what I do:
> 
> o  Code the two groups as 0s and 1s (numeric, not factor).
> 
> o  Run PLS as usual.  Cases with predicted values > 0.5 get 
>    classified as 1s, otherwise as 0s.
> 
> o  Note that you need to modify the code inside the mvr() 
>    function a bit if you want to use the built-in selection
>    of number of LVs:  It selects the number that gives the
>    best MSE, but what you really want is the number that
>    gives the best error rate.  One trick is to discretize
>    the predictions in {0, 1}, then the "MSE" will be error
>    rate.
> 
> There are better ways to do this, but this works fairly well.
> 
> HTH,
> Andy 
> 
> > -----Original Message-----
> > From: Christoph Lehmann [mailto:christoph.lehmann at gmx.ch] 
> > Sent: Wednesday, September 10, 2003 1:38 PM
> > To: R-help at stat.math.ethz.ch
> > Subject: [R] PLS LDA
> > 
> > 
> > Dear R experts
> > I saw and downloaded the fresh pls package for R. Is there 
> > any way of using this pls package for PLS discriminant 
> > analysis? If not, is there any other package available.
> > 
> > I need a way of classifying objects into e.g. two groups, 
> > where nbr_observations << nbr_variables
> > 
> > many thanks for your kind help
> > 
> > Christoph
> > -- 
> > Christoph Lehmann <christoph.lehmann at gmx.ch>
> > 
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list 
> > https://www.stat.math.ethz.ch/mailman/listinfo> /r-help
> > 
> 
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-- 
Christoph Lehmann <christoph.lehmann at gmx.ch>