<?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 glm in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539590#M148704</link>
    <description>&lt;P&gt;It fits general linear models, including (but not limited to) ANOVA and regression. Search the internet for general linear models, you will find a lot to read.&lt;/P&gt;</description>
    <pubDate>Fri, 01 Mar 2019 14:19:42 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2019-03-01T14:19:42Z</dc:date>
    <item>
      <title>Proc glm</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539587#M148701</link>
      <description>&lt;P&gt;&lt;STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Explain what Proc glm does?&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 01 Mar 2019 11:45:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539587#M148701</guid>
      <dc:creator>rinugour</dc:creator>
      <dc:date>2019-03-01T11:45:02Z</dc:date>
    </item>
    <item>
      <title>Re: Proc glm</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539589#M148703</link>
      <description>&lt;P&gt;Posting a generic bolded instruction to us is not going to get you any useful information.&lt;/P&gt;
&lt;P&gt;If you want to know what something does, RTFM!&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#glm_toc.htm" target="_blank"&gt;https://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#glm_toc.htm&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 01 Mar 2019 11:47:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539589#M148703</guid>
      <dc:creator>RW9</dc:creator>
      <dc:date>2019-03-01T11:47:17Z</dc:date>
    </item>
    <item>
      <title>Re: Proc glm</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539590#M148704</link>
      <description>&lt;P&gt;It fits general linear models, including (but not limited to) ANOVA and regression. Search the internet for general linear models, you will find a lot to read.&lt;/P&gt;</description>
      <pubDate>Fri, 01 Mar 2019 14:19:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539590#M148704</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-03-01T14:19:42Z</dc:date>
    </item>
    <item>
      <title>Re: Proc glm</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539696#M148751</link>
      <description>&lt;P&gt;For these type of questions please check the documentation. The overview section of each proc explains what it does in general terms.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;P&gt;The GLM procedure uses the method of least squares to fit general linear models. Among the statistical methods available in PROC GLM are regression, analysis of variance, analysis of covariance, multivariate analysis of variance, and partial correlation.&lt;/P&gt;
&lt;P&gt;PROC GLM analyzes data within the framework of general linear models. PROC GLM handles models relating one or several continuous dependent variables to one or several independent variables. The independent variables can be either&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;classification&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;variables, which divide the observations into discrete groups, or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;continuous&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;variables. Thus, the GLM procedure can be used for many different analyses, including the following:&lt;/P&gt;
&lt;/BLOCKQUOTE&gt;
&lt;DIV&gt;
&lt;BLOCKQUOTE&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;simple regression&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;multiple regression&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;analysis of variance (ANOVA), especially for unbalanced data&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;analysis of covariance&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;response surface models&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;weighted regression&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;polynomial regression&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;partial correlation&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;multivariate analysis of variance (MANOVA)&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;repeated measures analysis of variance&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&lt;A href="https://documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.4&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_glm_overview.htm&amp;amp;locale=en" target="_blank"&gt;https://documentation.sas.com/?cdcId=pgmsascdc&amp;amp;cdcVersion=9.4_3.4&amp;amp;docsetId=statug&amp;amp;docsetTarget=statug_glm_overview.htm&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/253245"&gt;@rinugour&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;Explain what Proc glm does?&lt;/STRONG&gt;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;/DIV&gt;</description>
      <pubDate>Fri, 01 Mar 2019 17:02:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/539696#M148751</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2019-03-01T17:02:45Z</dc:date>
    </item>
    <item>
      <title>Re: Proc glm</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/541679#M149595</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Proc glm performs simple and&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;&lt;A href="https://data-flair.training/blogs/sas-linear-regression/" target="_blank"&gt;multiple regression&lt;/A&gt;&lt;/STRONG&gt;&lt;SPAN&gt;,&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;&lt;A href="https://data-flair.training/blogs/sas-one-way-anova/" target="_blank"&gt;analysis of variance&lt;/A&gt;&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;(ANOVA), analysis of covariance, multivariate analysis of variance and repeated measure analysis of variance.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 09 Mar 2019 12:23:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Proc-glm/m-p/541679#M149595</guid>
      <dc:creator>anjita</dc:creator>
      <dc:date>2019-03-09T12:23:00Z</dc:date>
    </item>
  </channel>
</rss>

