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    <title>topic Re: proc surveyreg - class statement in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283847#M14957</link>
    <description>&lt;P&gt;You must exclude industries before running proc surveyreg. You can do that by 1) creating an intermediate dataset, 2) by creating an intermediate data view, or 3) by adding a WHERE clause, either as a dataset option or as a WHERE statement, when calling proc surveyreg.&lt;/P&gt;</description>
    <pubDate>Tue, 12 Jul 2016 17:35:58 GMT</pubDate>
    <dc:creator>PGStats</dc:creator>
    <dc:date>2016-07-12T17:35:58Z</dc:date>
    <item>
      <title>proc surveyreg - class statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283741#M14956</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am using the class statement in proc surveyreg in order to construct industry dummy variables. However, sometimes some industries don't contain any observations&amp;nbsp;or too few. Then I cannot use the lsmeans statement for instance. Is it possible to automatically exclude one group within the class statement when the group is empty?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 12 Jul 2016 12:23:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283741#M14956</guid>
      <dc:creator>nuitamment</dc:creator>
      <dc:date>2016-07-12T12:23:47Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg - class statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283847#M14957</link>
      <description>&lt;P&gt;You must exclude industries before running proc surveyreg. You can do that by 1) creating an intermediate dataset, 2) by creating an intermediate data view, or 3) by adding a WHERE clause, either as a dataset option or as a WHERE statement, when calling proc surveyreg.&lt;/P&gt;</description>
      <pubDate>Tue, 12 Jul 2016 17:35:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283847#M14957</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-07-12T17:35:58Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg - class statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283848#M14958</link>
      <description>I was hoping that there would be a more elegant solution. But thank you.&lt;BR /&gt;</description>
      <pubDate>Tue, 12 Jul 2016 17:39:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/283848#M14958</guid>
      <dc:creator>nuitamment</dc:creator>
      <dc:date>2016-07-12T17:39:09Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg - class statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/284131#M14996</link>
      <description>&lt;P&gt;Because of the weighting, it becomes difficult to implement what Milliken and Johnson refer to as a "means model" in PROC SURVEYREG. &amp;nbsp;However, you could give it a try--fitting what is essentially a saturated one-way model--and then use LSMESTIMATE statements to construct tests and comparisons of interest.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Steve Denham&lt;/P&gt;</description>
      <pubDate>Wed, 13 Jul 2016 17:31:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg-class-statement/m-p/284131#M14996</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2016-07-13T17:31:39Z</dc:date>
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