<?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 generalized least squares? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/533981#M75669</link>
    <description>&lt;P&gt;I'm looking to run a generalized least squares (GLS) model to replace my OLS model. I believe the residuals of the OLS model have spatial autocorrelation (I'm not positive, but the map definitely looks so). I read that GLS models correct for autocorrelation (any kind?) of residuals. I don't see GLS as an option under the Generalized Regression platform. I don't have Arc or QGIS, R, or SAS. Suggestions?&lt;/P&gt;</description>
    <pubDate>Fri, 09 Jun 2023 00:53:44 GMT</pubDate>
    <dc:creator>fever</dc:creator>
    <dc:date>2023-06-09T00:53:44Z</dc:date>
    <item>
      <title>generalized least squares?</title>
      <link>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/533981#M75669</link>
      <description>&lt;P&gt;I'm looking to run a generalized least squares (GLS) model to replace my OLS model. I believe the residuals of the OLS model have spatial autocorrelation (I'm not positive, but the map definitely looks so). I read that GLS models correct for autocorrelation (any kind?) of residuals. I don't see GLS as an option under the Generalized Regression platform. I don't have Arc or QGIS, R, or SAS. Suggestions?&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:53:44 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/533981#M75669</guid>
      <dc:creator>fever</dc:creator>
      <dc:date>2023-06-09T00:53:44Z</dc:date>
    </item>
    <item>
      <title>Re: generalized least squares?</title>
      <link>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/533998#M75670</link>
      <description>&lt;P&gt;You mean GLM? &amp;nbsp;Start here:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/16.2/?os=mac&amp;amp;source=application#page/jmp/generalized-linear-models.shtml#218524" target="_blank"&gt;https://www.jmp.com/support/help/en/16.2/?os=mac&amp;amp;source=application#page/jmp/generalized-linear-models.shtml#218524&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 15 Aug 2022 20:10:03 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/533998#M75670</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2022-08-15T20:10:03Z</dc:date>
    </item>
    <item>
      <title>Re: generalized least squares?</title>
      <link>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/534005#M75671</link>
      <description>&lt;P&gt;Thanks, but no, the generalized least squares (GLS) is different from generalize linear models (GLM) as I understand it: &lt;A href="https://stats.stackexchange.com/questions/272336/what-is-the-difference-between-generalized-linear-models-and-generalized-least-s" target="_blank"&gt;https://stats.stackexchange.com/questions/272336/what-is-the-difference-between-generalized-linear-models-and-generalized-least-s&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 15 Aug 2022 20:13:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/534005#M75671</guid>
      <dc:creator>fever</dc:creator>
      <dc:date>2022-08-15T20:13:05Z</dc:date>
    </item>
    <item>
      <title>Re: generalized least squares?</title>
      <link>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/534320#M75688</link>
      <description>&lt;P&gt;You may want to check out &lt;A href="https://www.jmp.com/support/help/en/16.2/?os=win&amp;amp;source=application#page/jmp/mixed-models-and-random-effect-models.shtml#ww790123" target="_self"&gt;Mixed Models and Random Effect Models&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Note: If you click the corClasses link in the top answer on that StackExchange page, it leads you to a R package "nlme", for "Linear and Nonlinear Mixed Effects Models".&lt;/P&gt;
&lt;P&gt;Now look at the description of "Classical Linear Mixed Model" on &lt;A href="https://www.jmp.com/support/help/en/16.2/?os=win&amp;amp;source=application#page/jmp/mixed-models-and-random-effect-models.shtml#ww790123" target="_self"&gt;Mixed Models and Random Effect Models&lt;/A&gt;&amp;nbsp;. Here is a screenshot of the formula. For such data, observations are not independent. The model allows modeling the correlation among observations.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="peng_liu_0-1660659582096.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/44809iFF7175E2BCAFFB0C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="peng_liu_0-1660659582096.png" alt="peng_liu_0-1660659582096.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Aug 2022 14:28:41 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/generalized-least-squares/m-p/534320#M75688</guid>
      <dc:creator>peng_liu</dc:creator>
      <dc:date>2022-08-16T14:28:41Z</dc:date>
    </item>
  </channel>
</rss>

