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    <title>topic Re: Collinearity Check in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71731#M20723</link>
    <description>Thank you so much for the reply .. ODS output works well !!&lt;BR /&gt;
&lt;BR /&gt;
Next step I'll be proceeding with the variables that are correlated ...&lt;BR /&gt;
&lt;BR /&gt;
again thanks,&lt;BR /&gt;
&lt;BR /&gt;
L</description>
    <pubDate>Wed, 15 Sep 2010 01:48:23 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2010-09-15T01:48:23Z</dc:date>
    <item>
      <title>Collinearity Check</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71729#M20721</link>
      <description>Hi,&lt;BR /&gt;
  &lt;BR /&gt;
I am new to this forum, had hard time figuring out how this could be done in SAS.&lt;BR /&gt;
&lt;BR /&gt;
The code I am trying to run, regression analysis looks something like this:&lt;BR /&gt;
&lt;BR /&gt;
Proc reg data = work.temp;&lt;BR /&gt;
Model  &amp;amp;Pred_var = &amp;amp;independent_var / stb tol vif Collin;&lt;BR /&gt;
By segment;&lt;BR /&gt;
Run;&lt;BR /&gt;
&lt;BR /&gt;
I want to run a regression model such that it produces VIF values for each of the by Groups and checks the value of VIF. &lt;BR /&gt;
&lt;BR /&gt;
Based on the value of VIF I should be able to Print if the regression model has collinearity(VIF &amp;gt; =5) or not(VIF &amp;lt;5). &lt;BR /&gt;
&lt;BR /&gt;
And if there is collinearity then I should be able to give a rough idea of which variables might be correlated. &lt;BR /&gt;
&lt;BR /&gt;
Your suggestions would be highly appreciated.&lt;BR /&gt;
&lt;BR /&gt;
Thank you,&lt;BR /&gt;
&lt;BR /&gt;
L.</description>
      <pubDate>Mon, 13 Sep 2010 23:52:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71729#M20721</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-09-13T23:52:43Z</dc:date>
    </item>
    <item>
      <title>Re: Collinearity Check</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71730#M20722</link>
      <description>You would have to write some macro code to pick out which by groups have VIF&amp;gt;=5 and then print only those. You can capture the VIF output into a SAS data set using ODS OUTPUT statements.&lt;BR /&gt;
&lt;BR /&gt;
To get some idea of which variables might be correlated, I would use Principal Components Analysis on the independent variables.</description>
      <pubDate>Tue, 14 Sep 2010 12:26:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71730#M20722</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2010-09-14T12:26:51Z</dc:date>
    </item>
    <item>
      <title>Re: Collinearity Check</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71731#M20723</link>
      <description>Thank you so much for the reply .. ODS output works well !!&lt;BR /&gt;
&lt;BR /&gt;
Next step I'll be proceeding with the variables that are correlated ...&lt;BR /&gt;
&lt;BR /&gt;
again thanks,&lt;BR /&gt;
&lt;BR /&gt;
L</description>
      <pubDate>Wed, 15 Sep 2010 01:48:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Collinearity-Check/m-p/71731#M20723</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-09-15T01:48:23Z</dc:date>
    </item>
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