|Date: ||Fri, 30 Jun 2006 09:39:53 +0300|
|Reply-To: ||vlad simion <email@example.com>|
|Sender: ||"SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>|
|From: ||vlad simion <firstname.lastname@example.org>|
|Subject: ||Re: pls regression|
|Content-Type: ||text/plain; charset=ISO-8859-1; format=flowed|
Thank you all,
I think I am a little bit confused and I am not sure I really know what is
appropriate for what I need.
I have some data with a lot of missings where the independent variables are
highly correlated and as far as I understand the PLS regression (partial
least squares - if I get it right) would be more fitted than multivariate
regression or GLM, because of the multicolinearity.
I hope it cleares a little what my problem is, because for me....
Thank you again.
On 6/29/06, Dan Zetu <email@example.com> wrote:
> First, I am not aware of any SPSS capability to do PLS regression. SAS has
> proc pls that does PLS regression, not to be confused with the PLS
> for latent variable modeling. If you have SAS, then its documentation has
> rather good description of the procedure and what it does.
> Although I personally haven't seen one, any chemometrics book should
> at least some brief description of the PLS regression procedure, as it is
> this field in which PLS has found many applications. Also, SAS researchers
> have published papers in the past on PLS regression (they should be
> available on SAS website).
> Hope this helps,
> >From: vlad simion <firstname.lastname@example.org>
> >Reply-To: vlad simion <email@example.com>
> >To: SPSSX-L@LISTSERV.UGA.EDU
> >Subject: pls regression
> >Date: Thu, 29 Jun 2006 09:15:49 +0300
> >Hi all,
> >could anyone help me with some clearings on the PLS Regression, the
> >algorithm, what are the assumptions for running it and so on. And where
> >I find some materials on pls regression?
> >Thank you in advance.
> >Vlad Simion
> >Data Analyst
> >Tel: +40 720130611
Tel: +40 720130611