Fw: [R] SIMCA algorithm implementation

[Thomas W Blackwell]

Mike  -

For predicting class membership, I would use either  lda() or
qda()  from the MASS package.  See the Venables and Ripley
book for detailed description of the methods.  You'll have
to rely on your own references for what the 'SIMCA' algorithm
actually does.  I've never heard of it.  Sounds like some
sort of discriminant analysis to me.  Maybe its authors
would like to contribute an implementation of it to R.

-  tom blackwell  -  u michigan medical school  -  ann arbor  -

On Wed, 15 Oct 2003, Mike White wrote:

> I have used PCA for data classification by visual examination of the 3D
> scatter plot of the first 3 principal components.  I now want to use the
> results to predict the class for new data.  I have used predict.princomp to
> predict the scores and then visualise the results on a 3D scatter plot using
> the rgl library.  However, is there an R function that will fit the new data
> to the class assignments derived from PCA?  I think this is similar to what
> the SIMCA algoirthm does.
>
> Thanks
> Mike
>
> ----- Original Message -----
> From: "Mike White" <mikewhite.diu at tiscali.co.uk>
> To: <R-help at stat.math.ethz.ch>
> Sent: Wednesday, October 08, 2003 9:25 AM
> Subject: Re: [R] SIMCA algorithm implementation
>
>
> > Dear All
> > Is there a SIMCA (Soft Independent Modelling Class Analogy) implementation
> > on R or does anyone know if is it possible to replicate the SIMCA
> algorithm
> > using existing R functions?
> >
> > Thanks
> > Mike White
>