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    <title>topic Re: Nonlinear Canonical Correlation in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Nonlinear-Canonical-Correlation/m-p/315662#M16635</link>
    <description>&lt;P&gt;I really don't have an answer on this, but let's see what can be done.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;First, what nonlinear functions are you considering as basis functions for your two groups of data? &amp;nbsp;There might be something available in the ETS package that could help (PROC MODEL, PROC COPULA or PROC SPECTRA). &amp;nbsp;Second, would something like a wavelet decomposition allow you to identify the degree of relationship?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Steve Denham&lt;/P&gt;</description>
    <pubDate>Wed, 30 Nov 2016 20:06:35 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2016-11-30T20:06:35Z</dc:date>
    <item>
      <title>Nonlinear Canonical Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Nonlinear-Canonical-Correlation/m-p/312528#M16470</link>
      <description>&lt;P&gt;Hi everyone,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do you know any SAS procedure for "nonlinear canonical correlation"?&lt;/P&gt;&lt;P&gt;If yes, could you please help me to reach the related documents or examples?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;There is a procedure related to that (PROC CANCORR) but I could not find anything about nonlinearity.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;EM&gt;The purpose of&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/EM&gt;&lt;EM&gt;&lt;STRONG&gt;canonical correlation analysis&lt;/STRONG&gt;&lt;/EM&gt;&lt;SPAN&gt;&lt;EM&gt;&amp;nbsp;&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;(Mardia, Kent, and Bibby;&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;&amp;nbsp;&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_intromult_sect007.htm#mard_k_79" target="_blank"&gt;1979&lt;/A&gt;)&lt;/EM&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;EM&gt;&amp;nbsp;&lt;/EM&gt;&lt;/SPAN&gt;&lt;EM&gt;is to explain or summarize the relationship between two sets of variables by finding a small number of linear combinations from each set of variables that have the highest possible between-set correlations. Plots of the canonical variables can be useful in examining multivariate dependencies. If one of the two sets of variables consists of dummy variables generated from a classification variable, the canonical correlation is equivalent to canonical discriminant analysis (see Chapter 27,&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/candisc_toc.htm" target="_blank"&gt;The CANDISC Procedure&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;). If both sets of variables are dummy variables, canonical correlation is equivalent to simple correspondence analysis.&lt;/EM&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Many thanks &amp;amp; Best Regards&lt;/P&gt;&lt;P&gt;Onur&lt;/P&gt;</description>
      <pubDate>Fri, 18 Nov 2016 07:10:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Nonlinear-Canonical-Correlation/m-p/312528#M16470</guid>
      <dc:creator>dincooo</dc:creator>
      <dc:date>2016-11-18T07:10:30Z</dc:date>
    </item>
    <item>
      <title>Re: Nonlinear Canonical Correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Nonlinear-Canonical-Correlation/m-p/315662#M16635</link>
      <description>&lt;P&gt;I really don't have an answer on this, but let's see what can be done.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;First, what nonlinear functions are you considering as basis functions for your two groups of data? &amp;nbsp;There might be something available in the ETS package that could help (PROC MODEL, PROC COPULA or PROC SPECTRA). &amp;nbsp;Second, would something like a wavelet decomposition allow you to identify the degree of relationship?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Steve Denham&lt;/P&gt;</description>
      <pubDate>Wed, 30 Nov 2016 20:06:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Nonlinear-Canonical-Correlation/m-p/315662#M16635</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2016-11-30T20:06:35Z</dc:date>
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