Date:         Fri, 30 Jun 2006 09:39:53 +0300
Reply-To:     vlad simion <vlad.simion@gmail.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         vlad simion <vlad.simion@gmail.com>
Subject:      Re: pls regression
Comments: To: Dan Zetu <dzetu@hotmail.com>
In-Reply-To:  <BAY122-F25F3AF52A83D4B19216549B57C0@phx.gbl>
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.

Vlad.


On 6/29/06, Dan Zetu <dzetu@hotmail.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
> approach
> for latent variable modeling. If you have SAS, then its documentation has
> a
> rather good description of the procedure and what it does.
>
> Although I personally haven't seen one, any chemometrics book should
> contain
> 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
> publicly
> available on SAS website).
>
> Hope this helps,
>
> Dan
>
>
> >From: vlad simion <vlad.simion@gmail.com>
> >Reply-To: vlad simion <vlad.simion@gmail.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
> can
> >I find some materials on pls regression?
> >
> >Thank you in advance.
> >
> >Vlad.
> >
> >--
> >Vlad Simion
> >Data Analyst
> >Tel:      +40 720130611
>
>
>


--
Vlad Simion
Data Analyst
Tel:      +40 720130611