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    <title>topic Re: proc nlin - distribution of square error in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827190#M35332</link>
    <description>&lt;P&gt;Please at least provide the Proc NLIN code for one of these runs. We need to see the options you are using. It is a headache to suggest "use option X on the PDQ statement" if you don't have a PDQ statement in your code. It may mean that you need to add a PDQ to get the desired result. (PDQ is generic for SOME statement, not an actual NLIN statement).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It is possible that what you want might appear in different tables based on your options and I am not going to make a lot of guesses.&lt;/P&gt;</description>
    <pubDate>Thu, 04 Aug 2022 17:41:04 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2022-08-04T17:41:04Z</dc:date>
    <item>
      <title>proc nlin - distribution of square error</title>
      <link>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827081#M35324</link>
      <description>&lt;P&gt;Hi SAS Community,&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;I use proc nlin to fit various models to data.&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;I want to be able to say for example "if the distribution of square errors has these features, then do ..."&lt;BR /&gt;&lt;BR /&gt;Does proc nlin output the distribution of squared errors as a dataset, or do I have to go back and use the model parameters to manually get the SE distribution?&lt;BR /&gt;&lt;BR /&gt;I am trying make this as efficient as possible as have multiple datasets to process, with each dataset containing ~60,000 rows, and each dataset required&amp;nbsp;&lt;SPAN&gt;&amp;nbsp;~1,700 non-linear fits (/calls of proc nlin).&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any tips would much&amp;nbsp;&lt;SPAN&gt;be appreciated!&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;LinLin Jiang&lt;/P&gt;</description>
      <pubDate>Thu, 04 Aug 2022 10:46:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827081#M35324</guid>
      <dc:creator>linlin87</dc:creator>
      <dc:date>2022-08-04T10:46:27Z</dc:date>
    </item>
    <item>
      <title>Re: proc nlin - distribution of square error</title>
      <link>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827190#M35332</link>
      <description>&lt;P&gt;Please at least provide the Proc NLIN code for one of these runs. We need to see the options you are using. It is a headache to suggest "use option X on the PDQ statement" if you don't have a PDQ statement in your code. It may mean that you need to add a PDQ to get the desired result. (PDQ is generic for SOME statement, not an actual NLIN statement).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It is possible that what you want might appear in different tables based on your options and I am not going to make a lot of guesses.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Aug 2022 17:41:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827190#M35332</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2022-08-04T17:41:04Z</dc:date>
    </item>
    <item>
      <title>Re: proc nlin - distribution of square error</title>
      <link>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827203#M35333</link>
      <description>&lt;P&gt;How to get the residuals from proc NLIN, and extra considerations for residuals from non-linear models, is explained &lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.3/statug/statug_nlin_details02.htm#statug.nlin.nlinordinaryprojectedresiduals" target="_self"&gt;here&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Aug 2022 18:45:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/proc-nlin-distribution-of-square-error/m-p/827203#M35333</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2022-08-04T18:45:18Z</dc:date>
    </item>
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