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    <title>topic Proc Panel and multicollinearity in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128282#M35056</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi;&lt;/P&gt;&lt;P&gt;I am using proc panel with RANONE option, &lt;/P&gt;&lt;P&gt;Is there anyway to check for the multicollinearity among independant variables in PROC PANEL. &lt;/P&gt;&lt;P&gt;Something like VIF option in proc reg?&lt;/P&gt;&lt;P&gt;Thanks for reading this post&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sun, 07 Jul 2013 23:42:46 GMT</pubDate>
    <dc:creator>niam</dc:creator>
    <dc:date>2013-07-07T23:42:46Z</dc:date>
    <item>
      <title>Proc Panel and multicollinearity</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128282#M35056</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi;&lt;/P&gt;&lt;P&gt;I am using proc panel with RANONE option, &lt;/P&gt;&lt;P&gt;Is there anyway to check for the multicollinearity among independant variables in PROC PANEL. &lt;/P&gt;&lt;P&gt;Something like VIF option in proc reg?&lt;/P&gt;&lt;P&gt;Thanks for reading this post&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 07 Jul 2013 23:42:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128282#M35056</guid>
      <dc:creator>niam</dc:creator>
      <dc:date>2013-07-07T23:42:46Z</dc:date>
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    <item>
      <title>Re: Proc Panel and multicollinearity</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128283#M35057</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Since multicollinearity is only an issue with the independent variables, you could just use PROC REG to calculate the VIF's.&amp;nbsp; I assume here that the independent variables are either identical across panels, or that you are doing seemingly unrelated regression.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 08 Jul 2013 12:19:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128283#M35057</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-07-08T12:19:02Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Panel and multicollinearity</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128284#M35058</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks for the reply&lt;/P&gt;&lt;P&gt;Yes, the independent variables are all the same across panels. I will then only rely on VIF s that I get from proc reg&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 08 Jul 2013 20:23:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Proc-Panel-and-multicollinearity/m-p/128284#M35058</guid>
      <dc:creator>niam</dc:creator>
      <dc:date>2013-07-08T20:23:02Z</dc:date>
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