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    <title>topic Re: proc mixed collinearity in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73617#M3544</link>
    <description>Errors are in Y&lt;BR /&gt;
&lt;BR /&gt;
Collinearity is in X&lt;BR /&gt;
&lt;BR /&gt;
&amp;gt; so then I take it that the computation of vif does&lt;BR /&gt;
&amp;gt; not need the assumption of uncorrelated errors?&lt;BR /&gt;
&lt;BR /&gt;
VIF does not depend on Y in any way</description>
    <pubDate>Tue, 21 Sep 2010 18:41:05 GMT</pubDate>
    <dc:creator>Paige</dc:creator>
    <dc:date>2010-09-21T18:41:05Z</dc:date>
    <item>
      <title>proc mixed collinearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73614#M3541</link>
      <description>Is it possible to get VIF diagnostics for mixed models. I know they are used for the OLS setting but im not sure about mixed models.&lt;BR /&gt;
&lt;BR /&gt;
If not, how can I asses collinearity between my covariates. Is checked the correlation between all covariates just as good?&lt;BR /&gt;
&lt;BR /&gt;
Cheers</description>
      <pubDate>Tue, 21 Sep 2010 15:38:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73614#M3541</guid>
      <dc:creator>trekvana</dc:creator>
      <dc:date>2010-09-21T15:38:56Z</dc:date>
    </item>
    <item>
      <title>Re: proc mixed collinearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73615#M3542</link>
      <description>Collinearity is collinearity, regardless of what SAS PROC you will be using to estimate your model.&lt;BR /&gt;
&lt;BR /&gt;
You can obtain VIF from PROC REG using the fixed terms in your PROC MIXED model.</description>
      <pubDate>Tue, 21 Sep 2010 16:01:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73615#M3542</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2010-09-21T16:01:53Z</dc:date>
    </item>
    <item>
      <title>Re: proc mixed collinearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73616#M3543</link>
      <description>Paige-&lt;BR /&gt;
&lt;BR /&gt;
so then I take it that the computation of vif does not need the assumption of uncorrelated errors?

Message was edited by: trekvana</description>
      <pubDate>Tue, 21 Sep 2010 18:10:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73616#M3543</guid>
      <dc:creator>trekvana</dc:creator>
      <dc:date>2010-09-21T18:10:40Z</dc:date>
    </item>
    <item>
      <title>Re: proc mixed collinearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73617#M3544</link>
      <description>Errors are in Y&lt;BR /&gt;
&lt;BR /&gt;
Collinearity is in X&lt;BR /&gt;
&lt;BR /&gt;
&amp;gt; so then I take it that the computation of vif does&lt;BR /&gt;
&amp;gt; not need the assumption of uncorrelated errors?&lt;BR /&gt;
&lt;BR /&gt;
VIF does not depend on Y in any way</description>
      <pubDate>Tue, 21 Sep 2010 18:41:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73617#M3544</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2010-09-21T18:41:05Z</dc:date>
    </item>
    <item>
      <title>Re: proc mixed collinearity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73618#M3545</link>
      <description>Thanks Paige</description>
      <pubDate>Tue, 21 Sep 2010 20:01:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-mixed-collinearity/m-p/73618#M3545</guid>
      <dc:creator>trekvana</dc:creator>
      <dc:date>2010-09-21T20:01:52Z</dc:date>
    </item>
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