<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: proc surveyreg in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987077#M49398</link>
    <description>&lt;P&gt;&lt;SPAN&gt;When your model contains a CLASS statement, then you will get this message any time you run PROC SURVEYREG with the SOLUTION option in the MODEL statement. SURVEYREG is estimating the model correctly, and the message is telling you exactly what technique is being used for the estimation.&amp;nbsp;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;See the following Usage Note for details:&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Usage Note 22585: Why is the X'X matrix found to be singular in the PROC GLM Output?&lt;/SPAN&gt;&lt;BR /&gt;&lt;A href="http://support.sas.com/kb/22/585.html" target="_blank"&gt;http://support.sas.com/kb/22/585.html&lt;/A&gt;&lt;BR /&gt;&lt;SPAN&gt;The Usage Note discusses PROC GLM, but the same model parameterization is used in PROC SURVEYREG.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;I hope this information is helpful.&lt;/P&gt;</description>
    <pubDate>Fri, 01 May 2026 16:09:57 GMT</pubDate>
    <dc:creator>YZ11</dc:creator>
    <dc:date>2026-05-01T16:09:57Z</dc:date>
    <item>
      <title>proc surveyreg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987063#M49397</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;In my analysis I use &lt;STRONG&gt;proc surveyred&lt;/STRONG&gt;&amp;nbsp; with &lt;STRONG&gt;varmethod=brr&lt;/STRONG&gt;&amp;nbsp; method for the variance estimation and as soon as I declare the categorical variables as&amp;nbsp; class variables I receive the note in the SAS output that states&amp;nbsp;&lt;U&gt; ”Matrix&amp;nbsp;X'WX&amp;nbsp;is&amp;nbsp;singular&amp;nbsp;and&amp;nbsp;a&amp;nbsp;generalized&amp;nbsp;inverse&amp;nbsp;was&amp;nbsp;used&amp;nbsp;to&amp;nbsp;solve&amp;nbsp;the&amp;nbsp;normal&amp;nbsp;equations.&amp;nbsp;&amp;nbsp;Estimates&amp;nbsp;are&amp;nbsp;not&amp;nbsp;unique.”&lt;/U&gt; My categorical variables are numeric type and when I use them in the model w/o the class statement that note disappears. I noticed that in one example for this procedure the output has the same note but the estimates are still used and interpreted. &lt;A href="https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#statug_surveyreg_a0000000316.htm" target="_blank"&gt;PROC SURVEYREG: Variance Estimate Using the Jackknife Method :: SAS/STAT(R) 9.22 User's Guide&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;In this regards I have 2 questions:&lt;/P&gt;
&lt;OL&gt;
&lt;LI&gt;Why I am getting that note when I declare the categorical variables using the class statement?&lt;/LI&gt;
&lt;LI&gt;Can this note be ignored and the model parameters can be used to make conclusions for the analyses?&lt;/LI&gt;
&lt;/OL&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please advise. Thank you!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 01 May 2026 14:48:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987063#M49397</guid>
      <dc:creator>LLOUKINE</dc:creator>
      <dc:date>2026-05-01T14:48:43Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987077#M49398</link>
      <description>&lt;P&gt;&lt;SPAN&gt;When your model contains a CLASS statement, then you will get this message any time you run PROC SURVEYREG with the SOLUTION option in the MODEL statement. SURVEYREG is estimating the model correctly, and the message is telling you exactly what technique is being used for the estimation.&amp;nbsp;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;See the following Usage Note for details:&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Usage Note 22585: Why is the X'X matrix found to be singular in the PROC GLM Output?&lt;/SPAN&gt;&lt;BR /&gt;&lt;A href="http://support.sas.com/kb/22/585.html" target="_blank"&gt;http://support.sas.com/kb/22/585.html&lt;/A&gt;&lt;BR /&gt;&lt;SPAN&gt;The Usage Note discusses PROC GLM, but the same model parameterization is used in PROC SURVEYREG.&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;I hope this information is helpful.&lt;/P&gt;</description>
      <pubDate>Fri, 01 May 2026 16:09:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987077#M49398</guid>
      <dc:creator>YZ11</dc:creator>
      <dc:date>2026-05-01T16:09:57Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987081#M49399</link>
      <description>&lt;P&gt;Thank you very much for your reply! I appreciate it!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 01 May 2026 16:35:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987081#M49399</guid>
      <dc:creator>LLOUKINE</dc:creator>
      <dc:date>2026-05-01T16:35:31Z</dc:date>
    </item>
    <item>
      <title>Re: proc surveyreg</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987083#M49400</link>
      <description>&lt;P&gt;Hi, I looked at the link you provided and it states "&lt;SPAN&gt;The estimates are regarded as biased or not uniquely estimable."&amp;nbsp; It is sounds as contradictory to your statement that the 'SURVEYREG is estimating the model correctly" . Am I missing something? Can I use a different type of a parametrization in proc surveyreg to avoid&amp;nbsp;Linear dependencies?&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 01 May 2026 16:49:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-surveyreg/m-p/987083#M49400</guid>
      <dc:creator>LLOUKINE</dc:creator>
      <dc:date>2026-05-01T16:49:53Z</dc:date>
    </item>
  </channel>
</rss>

