Date: Wed, 2 May 2007 08:53:49 -0400
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Kunal Kelkar <kunalpkelkar@AIM.COM>
Subject: Which SAS procedure to use
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I am having a SAS dataset with close to 640 variables out of which 430 are of categorical type.I am trying to fit regression model using this data. My response variable is also of categorical type.Many variables are having lot of missing values.I need help to find out how I can reduce the number of variables and how can tackle the null values.Also which SAS procedure will be helpful for this. If possible if anyone can provide some example that will be great.
Thanks in advance.
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