Date:         Wed, 17 Dec 2008 08:07:29 -0500
Reply-To:     Dulce Subida <dulcesubida@YAHOO.COM.BR>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Dulce Subida <dulcesubida@YAHOO.COM.BR>
Subject:      Gram Schmidt orthogonalization procedure

Hi everyone!

I need to get a Gaussian logistic model in SPSS, to predict the
probability of occurence of a species (binary dependent variable) as a
function of an environmental variable (x: continuous independent
variable). I thought I could simply perform the binary logistic
regression, using x and x2 as independent variables in the model. However
in such case I think I will have a severe problem of multicollinearity
(between x and x2). I thought I could orthogonalize both independent
variables in order to surpass that problem. Does anyone know how can I run
the Gram Schmidt orthogonalization procedure in SPSS, or does anyone know
the syntaxis for it?

Thank you a lot for your help!

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