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    <title>topic PCA (Principal component analysis) in pharma in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49251#M13353</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;As Cynthia said .STAT forum is your better place to find answer.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You should choose the eigenvetor whose eigenvalue is great than 1,&lt;/P&gt;&lt;P&gt;Maybe you can get two or three eigenvetor, it is dependent on your correlative matrix.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Ksharp&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 30 Mar 2012 03:29:46 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2012-03-30T03:29:46Z</dc:date>
    <item>
      <title>PCA (Principal component analysis) in pharma</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49249#M13351</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi guys,&lt;/P&gt;&lt;P&gt;I would like to know more about the applicatibility of PCA (Principal Component Analysis) in the Pharma industry.&lt;/P&gt;&lt;P&gt;I have experience using it in biophysics using MATLAB and I would like to start understanding the applicability of&lt;/P&gt;&lt;P&gt;using this method in SAS.&lt;/P&gt;&lt;P&gt;I know that not always the two reduce-dimensions of maximal variance obtaining with PCA, give you the maximal information of the problem,&lt;/P&gt;&lt;P&gt;but it is a powerful method in multivariate analysis.&lt;/P&gt;&lt;P&gt;Some refferences to books, examples or some papers could help too.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;V.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 29 Mar 2012 23:13:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49249#M13351</guid>
      <dc:creator>michtka</dc:creator>
      <dc:date>2012-03-29T23:13:53Z</dc:date>
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    <item>
      <title>PCA (Principal component analysis) in pharma</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49250#M13352</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Hi, you might want to post this question in either the STAT forum or the Clinical Trial forum:&lt;/P&gt;&lt;P&gt;&lt;A href="https://communities.sas.com/community/sas_statistical_procedures"&gt;https://communities.sas.com/community/sas_statistical_procedures&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://communities.sas.com/community/sas_and_clinical_trials"&gt;https://communities.sas.com/community/sas_and_clinical_trials&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp; I do know that PROC PRINCOMP does Principal Component Analysis and that's about all I know. Folks in the other forums may have better insights.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;cynthia&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 29 Mar 2012 23:25:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49250#M13352</guid>
      <dc:creator>Cynthia_sas</dc:creator>
      <dc:date>2012-03-29T23:25:36Z</dc:date>
    </item>
    <item>
      <title>PCA (Principal component analysis) in pharma</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49251#M13353</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;As Cynthia said .STAT forum is your better place to find answer.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You should choose the eigenvetor whose eigenvalue is great than 1,&lt;/P&gt;&lt;P&gt;Maybe you can get two or three eigenvetor, it is dependent on your correlative matrix.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Ksharp&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 30 Mar 2012 03:29:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/PCA-Principal-component-analysis-in-pharma/m-p/49251#M13353</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2012-03-30T03:29:46Z</dc:date>
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