LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (June 1997, week 4)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:   Fri, 27 Jun 1997 14:59:25 -0400
Reply-To:   drt2@LEHIGH.EDU
Sender:   "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:   drt2@LEHIGH.EDU
Subject:   Singular Matrix Problem

Hi,

Sorry in advance if this is a "statistics" question vs. a SAS question but I am desperate for some help.

I am doing an analysis using several continuous and discrete variables. I am using Proc GLM with the /solution option to get the beta estimates. I get a note that says" The X'X matrix has been found to be singular and a generalized inverse was used to solve the normal equations. Estimates ... are biased and are not unique estimates of the parameters."

I understand what it is saying but, and here's the SAS question: What can I do to "fix" this problem? I did a correlation analysis but there does not appear to be any significant correlation between the variables in the model. Can anyone help me with this?

While I'm abusing this group, can anyone tell me the "best" way to calculate the Beta Coefficients? Is it better to calculate them with all variables in the model or alone?

Thanks in advance.

Don


Back to: Top of message | Previous page | Main SAS-L page