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    <title>topic Re: Principal Component Analysis in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567246#M75119</link>
    <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/18408"&gt;@Ksharp&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Check PROC PLS , especially its example in documentation.&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Good point. If you want to do something like Principal Components on the X-variables to predict a Y-variable(s), then PLS is the way to go.&lt;/P&gt;</description>
    <pubDate>Wed, 19 Jun 2019 13:08:44 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2019-06-19T13:08:44Z</dc:date>
    <item>
      <title>Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567188#M75116</link>
      <description>&lt;P&gt;I want to perform a PCA on my data. I have one dependent variable and 31 independent variables. How do I select the variables after knowing the number of the Principal Components&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jun 2019 09:22:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567188#M75116</guid>
      <dc:creator>Davisonm1</dc:creator>
      <dc:date>2019-06-19T09:22:12Z</dc:date>
    </item>
    <item>
      <title>Re: Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567220#M75117</link>
      <description>&lt;P&gt;There is no such thing as a dependent variable in principal components analysis. So please explain further what you are trying to do here.&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jun 2019 11:59:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567220#M75117</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-06-19T11:59:06Z</dc:date>
    </item>
    <item>
      <title>Re: Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567222#M75118</link>
      <description>&lt;P&gt;Check PROC PLS , especially its example in documentation.&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jun 2019 12:22:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567222#M75118</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-06-19T12:22:24Z</dc:date>
    </item>
    <item>
      <title>Re: Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567246#M75119</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/18408"&gt;@Ksharp&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Check PROC PLS , especially its example in documentation.&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Good point. If you want to do something like Principal Components on the X-variables to predict a Y-variable(s), then PLS is the way to go.&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jun 2019 13:08:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567246#M75119</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-06-19T13:08:44Z</dc:date>
    </item>
    <item>
      <title>Re: Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567247#M75120</link>
      <description>I have 32 variables (1 dependent and 31 independent variables) and want to&lt;BR /&gt;perform data reduction (using PCA if this is the correct technique) to&lt;BR /&gt;remain with a few variables to use in explaining the variation in dependent&lt;BR /&gt;variable. I want to perform multiple linear regression and multiple&lt;BR /&gt;nonlinear regression analysis and determine which of the two will best&lt;BR /&gt;explain the changes in the dependent variable&lt;BR /&gt;</description>
      <pubDate>Wed, 19 Jun 2019 13:08:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567247#M75120</guid>
      <dc:creator>Davisonm1</dc:creator>
      <dc:date>2019-06-19T13:08:59Z</dc:date>
    </item>
    <item>
      <title>Re: Principal Component Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567261#M75122</link>
      <description>&lt;P&gt;Definitely, this is a situation where you should use PLS and not PCA.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In PLS, you can determine the important variables in a number of ways, usually by looking at the loadings.&lt;/P&gt;</description>
      <pubDate>Wed, 19 Jun 2019 13:31:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Principal-Component-Analysis/m-p/567261#M75122</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-06-19T13:31:32Z</dc:date>
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