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    <title>topic PROC QUANTREG How do I respond to Fuzzy Equation at Boundaries Warning in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-QUANTREG-How-do-I-respond-to-Fuzzy-Equation-at-Boundaries/m-p/677692#M32557</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am conducting a quantile regression on sentencing data using SAS 9.4. I conduct this regression twice, once with a restricted base model (Model 1) and another with several interaction terms (Model 2).&amp;nbsp;Unfortunately the data is not public so I will have to describe it. The dependent variable is&amp;nbsp; logged sentence length and there are a variety of independent variables such as plea (0=not guilty 1=guilty), gender (dichotomous male=0, female=1), logged number of guilty findings (nguilty). Model 1 has roughly 35 independent variables. Model 2 includes interaction terms such as plea*gender calculated previously. It has roughly 55 independent variables. Many of these predictors are dummy variables.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have population-level data with approximately 950,000 observations.&amp;nbsp;&lt;/P&gt;&lt;P&gt;My code is as follows:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC QUANT DATA=MYDATA ALGORITHM=SMOOTH (RRATIO=.5);&lt;/P&gt;&lt;P&gt;MODEL LOGGED_SENTENCE=PLEA GENDER NGUILTY/ quantile= .1 .25 .5 .75 .9 PLOT=QUANTPLOT;&lt;/P&gt;&lt;P&gt;TEST PLEA/QINTERACT;&lt;/P&gt;&lt;P&gt;RUN;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model 2 is the same syntax except the interaction term PLEA*GENDER is placed in the model statement.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model 1 works fine and as expected. Model 2 however gives me a warning concerning too many "fuzzy equations at the borders". I am not sure what this means nor what I should do to fix this issue. I cannot find any mention of this warning in any documentation.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I also attempted changing the RRATIO from 0.5 to 0.9 as suggested by SAS but this did not have any impact.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any help is appreciated.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Brendyn&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 19 Aug 2020 03:41:50 GMT</pubDate>
    <dc:creator>BrendynJohnson</dc:creator>
    <dc:date>2020-08-19T03:41:50Z</dc:date>
    <item>
      <title>PROC QUANTREG How do I respond to Fuzzy Equation at Boundaries Warning</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-QUANTREG-How-do-I-respond-to-Fuzzy-Equation-at-Boundaries/m-p/677692#M32557</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am conducting a quantile regression on sentencing data using SAS 9.4. I conduct this regression twice, once with a restricted base model (Model 1) and another with several interaction terms (Model 2).&amp;nbsp;Unfortunately the data is not public so I will have to describe it. The dependent variable is&amp;nbsp; logged sentence length and there are a variety of independent variables such as plea (0=not guilty 1=guilty), gender (dichotomous male=0, female=1), logged number of guilty findings (nguilty). Model 1 has roughly 35 independent variables. Model 2 includes interaction terms such as plea*gender calculated previously. It has roughly 55 independent variables. Many of these predictors are dummy variables.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have population-level data with approximately 950,000 observations.&amp;nbsp;&lt;/P&gt;&lt;P&gt;My code is as follows:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC QUANT DATA=MYDATA ALGORITHM=SMOOTH (RRATIO=.5);&lt;/P&gt;&lt;P&gt;MODEL LOGGED_SENTENCE=PLEA GENDER NGUILTY/ quantile= .1 .25 .5 .75 .9 PLOT=QUANTPLOT;&lt;/P&gt;&lt;P&gt;TEST PLEA/QINTERACT;&lt;/P&gt;&lt;P&gt;RUN;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model 2 is the same syntax except the interaction term PLEA*GENDER is placed in the model statement.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Model 1 works fine and as expected. Model 2 however gives me a warning concerning too many "fuzzy equations at the borders". I am not sure what this means nor what I should do to fix this issue. I cannot find any mention of this warning in any documentation.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I also attempted changing the RRATIO from 0.5 to 0.9 as suggested by SAS but this did not have any impact.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any help is appreciated.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Brendyn&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 19 Aug 2020 03:41:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-QUANTREG-How-do-I-respond-to-Fuzzy-Equation-at-Boundaries/m-p/677692#M32557</guid>
      <dc:creator>BrendynJohnson</dc:creator>
      <dc:date>2020-08-19T03:41:50Z</dc:date>
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