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    <title>topic predict procedure? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38594#M1612</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Whether or not those same people have purchased a similar product.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 28 Jul 2011 21:14:37 GMT</pubDate>
    <dc:creator>art297</dc:creator>
    <dc:date>2011-07-28T21:14:37Z</dc:date>
    <item>
      <title>predict procedure?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38591#M1609</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;There is the new service in the industry. I need to price it. First I think I need to predict which client will used it. Which procedure should I use to do it?&amp;nbsp;&amp;nbsp; I don't have &lt;/P&gt;&lt;P&gt;SAS&lt;SUP&gt;®&lt;/SUP&gt; Enterprise Miner. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2011 20:41:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38591#M1609</guid>
      <dc:creator>QLi</dc:creator>
      <dc:date>2011-07-28T20:41:53Z</dc:date>
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    <item>
      <title>predict procedure?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38592#M1610</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Since you are only talking about predictive modelling, I would think the questions you would have to answer are what similar event could you model and what factors do you know that could be used as independent variables.&amp;nbsp; Even without EG, you still might have access to procs like reg, decision trees (there is a macro available for those), logistic regression, cluster analysis, etc.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2011 20:48:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38592#M1610</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2011-07-28T20:48:17Z</dc:date>
    </item>
    <item>
      <title>predict procedure?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38593#M1611</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I very appreciated your response. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have the indepent variables such as, customer's age, gender, credit score, income, martial status... . These are assumed to affect the customer future behavior patterns.&amp;nbsp; ﻿﻿Since I don't have history depent vairable data which is Y/N binary vairable, I don't how to restrict&amp;nbsp; or define depent vaiable.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2011 21:04:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38593#M1611</guid>
      <dc:creator>QLi</dc:creator>
      <dc:date>2011-07-28T21:04:13Z</dc:date>
    </item>
    <item>
      <title>predict procedure?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38594#M1612</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Whether or not those same people have purchased a similar product.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 Jul 2011 21:14:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predict-procedure/m-p/38594#M1612</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2011-07-28T21:14:37Z</dc:date>
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