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    <title>topic Re: regression code for categorical predictors and regresee(predictee?) in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572755#M161656</link>
    <description>Thank you for recommending the book!</description>
    <pubDate>Thu, 11 Jul 2019 14:19:02 GMT</pubDate>
    <dc:creator>JKCho</dc:creator>
    <dc:date>2019-07-11T14:19:02Z</dc:date>
    <item>
      <title>regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572525#M161562</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I need to use one model used in previous papers but, of course, do not know the code for that,&lt;/P&gt;&lt;P&gt;It is the regression of credit ratings on some indicator variables(like loss or income) and others(like sales).&lt;/P&gt;&lt;P&gt;As there are more than 20 different credit rating scores and I need to use some indicator variables, I am lost how to make the code.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I find many about using categorical predictors but unsure about categorial regressees. Maybe using Logit/Probit thing...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;e.g. : Credit Rating = b0+b1Sales+b2Loss indicator+b3dividend indicator...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If you already have worked on credit rating regression like this, please share your wisdome!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!!!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Jerry&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jul 2019 20:59:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572525#M161562</guid>
      <dc:creator>JKCho</dc:creator>
      <dc:date>2019-07-10T20:59:24Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572535#M161567</link>
      <description>&lt;P&gt;I would use Partial Least Squares regression instead of ordinary least squares regression, and your indicator variables go into the CLASS statement, all variables go into the MODEL statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Documentation with examples:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_pls_examples01.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en" target="_blank" rel="noopener"&gt;https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_pls_examples01.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Logit and probit are only used when the Y-variable is categorical; it is not used when an X-variable is categorical and the Y-variable is continuous.&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jul 2019 21:41:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572535#M161567</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-07-10T21:41:02Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572686#M161641</link>
      <description>&lt;P&gt;Buy&amp;nbsp;&lt;A href="http://support.sas.com/publishing/authors/siddiqi.html" target="_blank" rel="noopener"&gt;Naeem Siddiqi&lt;/A&gt;&amp;nbsp;'s book&amp;nbsp;&lt;/P&gt;
&lt;H1&gt;Intelligent Credit Scoring: Building and Implementing Credit Risk Scorecards, Second Edition&lt;/H1&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.sas.com/store/books/categories/business-concepts-leadership/intelligent-credit-scoring-building-and-implementing-credit-risk-scorecards-second-edition/prodBK_69286_en.html" target="_blank"&gt;https://www.sas.com/store/books/categories/business-concepts-leadership/intelligent-credit-scoring-building-and-implementing-credit-risk-scorecards-second-edition/prodBK_69286_en.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jul 2019 12:28:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572686#M161641</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2019-07-11T12:28:15Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572755#M161656</link>
      <description>Thank you for recommending the book!</description>
      <pubDate>Thu, 11 Jul 2019 14:19:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/572755#M161656</guid>
      <dc:creator>JKCho</dc:creator>
      <dc:date>2019-07-11T14:19:02Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573566#M161953</link>
      <description>Thank you PaigeMiller!&lt;BR /&gt;I used the PROC PFS and notice that it does not work with the fixed variable code like absorb identifier;&lt;BR /&gt;&lt;BR /&gt;Because my model has some control variables too I want to put them in the model. Do you happen to know how to use control variables within PLS?</description>
      <pubDate>Mon, 15 Jul 2019 15:46:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573566#M161953</guid>
      <dc:creator>JKCho</dc:creator>
      <dc:date>2019-07-15T15:46:04Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573568#M161954</link>
      <description>&lt;P&gt;Control variables ought to be included in the model the same as any other variables.&lt;/P&gt;</description>
      <pubDate>Mon, 15 Jul 2019 15:55:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573568#M161954</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-07-15T15:55:01Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573580#M161962</link>
      <description>Last question!&lt;BR /&gt;how canan I also put fixed effect code such as absorb ; with PROC PLS? I have known that the ABSORB statement does not work with PROC PANEL and PROC PLS. may need sth else?</description>
      <pubDate>Mon, 15 Jul 2019 16:19:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573580#M161962</guid>
      <dc:creator>JKCho</dc:creator>
      <dc:date>2019-07-15T16:19:48Z</dc:date>
    </item>
    <item>
      <title>Re: regression code for categorical predictors and regresee(predictee?)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573596#M161982</link>
      <description>&lt;P&gt;There is no ABSORB statement in PROC PLS.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you really have a class variable that needs an ABSORB statement in PROC GLM, you'd have to include it in the model as a class variable in PROC PLS.&lt;/P&gt;</description>
      <pubDate>Mon, 15 Jul 2019 16:47:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/regression-code-for-categorical-predictors-and-regresee/m-p/573596#M161982</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-07-15T16:47:58Z</dc:date>
    </item>
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