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 (May 2007, week 1)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Wed, 2 May 2007 08:53:49 -0400
Reply-To:     kunalpkelkar@AIM.COM
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Kunal Kelkar <kunalpkelkar@AIM.COM>
Subject:      Which SAS procedure to use
Content-Type: text/plain; charset="us-ascii"

Hi All,

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.

Thanks, Kunal

________________________________________________________________________ Check Out the new free AIM(R) Mail -- 2 GB of storage and industry-leading spam and email virus protection.


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