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    <title>topic Re: Proc Gam in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904749#M44902</link>
    <description>&lt;P&gt;See the dataset&amp;nbsp;work.SmoothingComponentPlot.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;ods graphics on;
*ods trace on;
ods output SmoothingComponentPlot=work.SmoothingComponentPlot;
proc gam data= sashelp.shoes plots=component(clm);
	model Sales = spline(Inventory) / dist=normal;
run; quit;
ods graphics off;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Note there is also &lt;STRONG&gt;PROC GAMPL&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;PROC GAMPL Contrasted with &lt;STRONG&gt;PROC GAM&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/statcdc/14.3/statug/statug_hpgam_overview02.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/statcdc/14.3/statug/statug_hpgam_overview02.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Or maybe you want to consider &lt;STRONG&gt;PROC LOESS&lt;/STRONG&gt;?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
    <pubDate>Mon, 27 Nov 2023 22:43:05 GMT</pubDate>
    <dc:creator>sbxkoenk</dc:creator>
    <dc:date>2023-11-27T22:43:05Z</dc:date>
    <item>
      <title>Proc Gam</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904694#M44901</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Is their a method to produce written 95% CI in proc gam? I can get the confidence bands on the displayed figure but would like the numbers as well. Thank you&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;ods graphics on;
proc gam data= fi.analysis plots=component(clm);
	model Impact_Factor = spline(FI_RFI) / dist=normal;
run; quit;
ods graphics off;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Mon, 27 Nov 2023 19:09:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904694#M44901</guid>
      <dc:creator>GS2</dc:creator>
      <dc:date>2023-11-27T19:09:35Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Gam</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904749#M44902</link>
      <description>&lt;P&gt;See the dataset&amp;nbsp;work.SmoothingComponentPlot.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;ods graphics on;
*ods trace on;
ods output SmoothingComponentPlot=work.SmoothingComponentPlot;
proc gam data= sashelp.shoes plots=component(clm);
	model Sales = spline(Inventory) / dist=normal;
run; quit;
ods graphics off;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Note there is also &lt;STRONG&gt;PROC GAMPL&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;PROC GAMPL Contrasted with &lt;STRONG&gt;PROC GAM&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://go.documentation.sas.com/doc/en/statcdc/14.3/statug/statug_hpgam_overview02.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/statcdc/14.3/statug/statug_hpgam_overview02.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Or maybe you want to consider &lt;STRONG&gt;PROC LOESS&lt;/STRONG&gt;?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Mon, 27 Nov 2023 22:43:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904749#M44902</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2023-11-27T22:43:05Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Gam</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904833#M44909</link>
      <description>&lt;P&gt;Do not use PROC GAM. That is an old procedure that has been replaced by PROC GAMPL, which is more efficient and can scale to large data. In PROC GAMPL, you can use the&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc gampl data= sashelp.shoes plots=Components;
   model Sales = spline(Inventory) / dist=normal;
   output out=GamOut pred lower upper;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 28 Nov 2023 13:56:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Gam/m-p/904833#M44909</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2023-11-28T13:56:45Z</dc:date>
    </item>
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