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    <title>topic Proc MI ERROR message in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-ERROR-message/m-p/329590#M17410</link>
    <description>&lt;P&gt;Can anyone explain to me this error message?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ERROR: Not enough observations to fit regression models for variable steps_wk0 with an FCS&lt;BR /&gt;regression method.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;And what options do i have to impute this continuous variable if i have arbitrary missing data pattern?&lt;/P&gt;</description>
    <pubDate>Thu, 02 Feb 2017 21:13:35 GMT</pubDate>
    <dc:creator>ewillis1219</dc:creator>
    <dc:date>2017-02-02T21:13:35Z</dc:date>
    <item>
      <title>Proc MI ERROR message</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-ERROR-message/m-p/329590#M17410</link>
      <description>&lt;P&gt;Can anyone explain to me this error message?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ERROR: Not enough observations to fit regression models for variable steps_wk0 with an FCS&lt;BR /&gt;regression method.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;And what options do i have to impute this continuous variable if i have arbitrary missing data pattern?&lt;/P&gt;</description>
      <pubDate>Thu, 02 Feb 2017 21:13:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-ERROR-message/m-p/329590#M17410</guid>
      <dc:creator>ewillis1219</dc:creator>
      <dc:date>2017-02-02T21:13:35Z</dc:date>
    </item>
    <item>
      <title>Re: Proc MI ERROR message</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-ERROR-message/m-p/330199#M17440</link>
      <description>&lt;P&gt;Can you provide additional information, such as the number, and just as importantly the type, of the other variables in the data? &amp;nbsp;If you are trying to predict a continuous variable from data which is predominantly categorical, and also subject to missingness, you may not have enough complete cases to predict the continuous variable.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Stevev Denham&lt;/P&gt;</description>
      <pubDate>Mon, 06 Feb 2017 15:10:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MI-ERROR-message/m-p/330199#M17440</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2017-02-06T15:10:56Z</dc:date>
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