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    <title>topic &amp;quot;All possible models&amp;quot; function in JMP 9.0 in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/quot-All-possible-models-quot-function-in-JMP-9-0/m-p/28617#M1129</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Natalie,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I believe the 'all possible models' option in the stepwise platform simply considers all combinations of factors up to a set number of factors being in the model.&amp;nbsp; That is, if you have 3 x's, call them A, B and C then JMP would fit all the following models:&lt;/P&gt;&lt;P&gt;A&lt;/P&gt;&lt;P&gt;B&lt;/P&gt;&lt;P&gt;C&lt;/P&gt;&lt;P&gt;A+B&lt;/P&gt;&lt;P&gt;A+C&lt;/P&gt;&lt;P&gt;B+C&lt;/P&gt;&lt;P&gt;A+B+C&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For each of the models it would calculate fit and then list them so you could identify the best.&amp;nbsp; So, instead of using a logic based stepwise system, it's a 'brute force' type of model fitting.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 30 Mar 2012 12:36:37 GMT</pubDate>
    <dc:creator>mewing</dc:creator>
    <dc:date>2012-03-30T12:36:37Z</dc:date>
    <item>
      <title>"All possible models" function in JMP 9.0</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/quot-All-possible-models-quot-function-in-JMP-9-0/m-p/28616#M1128</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I recently used the "all posible models" function in the stepwise platform of JMP 9.0.&amp;nbsp; I am wondering what process JMP is using to compute the values?&amp;nbsp; Is JMP performing backwards and/ or forwards stepwise regression or is it using another procedure?&amp;nbsp; Also, if JMP is using stepwise regression what are the criteria that it is using?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks for your help.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;natalie&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Oct 2011 00:21:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/quot-All-possible-models-quot-function-in-JMP-9-0/m-p/28616#M1128</guid>
      <dc:creator>nangell</dc:creator>
      <dc:date>2011-10-13T00:21:27Z</dc:date>
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    <item>
      <title>"All possible models" function in JMP 9.0</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/quot-All-possible-models-quot-function-in-JMP-9-0/m-p/28617#M1129</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Natalie,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I believe the 'all possible models' option in the stepwise platform simply considers all combinations of factors up to a set number of factors being in the model.&amp;nbsp; That is, if you have 3 x's, call them A, B and C then JMP would fit all the following models:&lt;/P&gt;&lt;P&gt;A&lt;/P&gt;&lt;P&gt;B&lt;/P&gt;&lt;P&gt;C&lt;/P&gt;&lt;P&gt;A+B&lt;/P&gt;&lt;P&gt;A+C&lt;/P&gt;&lt;P&gt;B+C&lt;/P&gt;&lt;P&gt;A+B+C&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For each of the models it would calculate fit and then list them so you could identify the best.&amp;nbsp; So, instead of using a logic based stepwise system, it's a 'brute force' type of model fitting.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 30 Mar 2012 12:36:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/quot-All-possible-models-quot-function-in-JMP-9-0/m-p/28617#M1129</guid>
      <dc:creator>mewing</dc:creator>
      <dc:date>2012-03-30T12:36:37Z</dc:date>
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