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    <title>topic Re: Is there a way to run loess or bspline or adaptivereg directly in CAS in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/782189#M38423</link>
    <description>&lt;P&gt;In general, if you are looking for computations on the CAS server that are similar to what you would find in SAS/STAT procedures, look at the&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casstat/casstat_pt02.htm" target="_self"&gt;CAS-enabled statistical procedures&lt;/A&gt; in SAS Visual Statistics&lt;/LI&gt;
&lt;LI&gt;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casactstat/titlepage.htm" target="_self"&gt;The CAS actions for statistics&lt;/A&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Similar documentation exists for &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casecon/titlepage.htm" target="_self"&gt;CAS-enabled econometrics/time series procedures&lt;/A&gt;&amp;nbsp;and &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casactecon/titlepage.htm" target="_self"&gt;the econometric actions.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;As statdave_sas says, I'd recommend &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casstat/casstat_gammod_overview01.htm" target="_self"&gt;PROC GAMMOD.&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 24 Nov 2021 11:28:21 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2021-11-24T11:28:21Z</dc:date>
    <item>
      <title>Is there a way to run loess or bspline or adaptivereg directly in CAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766339#M37459</link>
      <description>&lt;P&gt;Hi we are working on a workflow where we have sporadic measurements. The data is not stationary with trend changes at infrequent intervals. There are no natural cycles in the data. We have found that smoothing the data and checking the residuals for outliers seem to work well.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;To make the workflow as efficent as possible we would like to run the whole flow in CAS.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;However we have not found any CAS methods for LOESS or Bspline or Mars regressions (adaptive reg).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can anybody please guide us in the right direction ?&lt;/P&gt;</description>
      <pubDate>Tue, 07 Sep 2021 10:18:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766339#M37459</guid>
      <dc:creator>PaalNavestad</dc:creator>
      <dc:date>2021-09-07T10:18:44Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to run loess or bspline or adaptivereg directly in CAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766392#M37468</link>
      <description>&lt;P&gt;In SAS Viya, you could either use PROC GAMMOD (or GAMSELECT if model selection methods are needed), or if you prefer to use CAS actions, you can use the related actions in the Generalized Additive Model action set. These allow fitting a model using thin-plate regression splines. See the SAS Viya documentation for details.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Sep 2021 14:22:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766392#M37468</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2021-09-07T14:22:05Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to run loess or bspline or adaptivereg directly in CAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766403#M37470</link>
      <description>&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 07 Sep 2021 14:44:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/766403#M37470</guid>
      <dc:creator>PaalNavestad</dc:creator>
      <dc:date>2021-09-07T14:44:38Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to run loess or bspline or adaptivereg directly in CAS</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/782189#M38423</link>
      <description>&lt;P&gt;In general, if you are looking for computations on the CAS server that are similar to what you would find in SAS/STAT procedures, look at the&amp;nbsp;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casstat/casstat_pt02.htm" target="_self"&gt;CAS-enabled statistical procedures&lt;/A&gt; in SAS Visual Statistics&lt;/LI&gt;
&lt;LI&gt;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casactstat/titlepage.htm" target="_self"&gt;The CAS actions for statistics&lt;/A&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Similar documentation exists for &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casecon/titlepage.htm" target="_self"&gt;CAS-enabled econometrics/time series procedures&lt;/A&gt;&amp;nbsp;and &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casactecon/titlepage.htm" target="_self"&gt;the econometric actions.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;As statdave_sas says, I'd recommend &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/v_013/casstat/casstat_gammod_overview01.htm" target="_self"&gt;PROC GAMMOD.&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 24 Nov 2021 11:28:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Is-there-a-way-to-run-loess-or-bspline-or-adaptivereg-directly/m-p/782189#M38423</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2021-11-24T11:28:21Z</dc:date>
    </item>
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