<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic inverse prediction in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/682194#M86783</link>
    <description>&lt;P&gt;Dear,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I saved a prediction formula of a linear weighted regression and would like to use it to make inverse predictions for a new y column.&lt;/P&gt;&lt;P&gt;How may I do it?&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;PY&lt;/P&gt;</description>
    <pubDate>Fri, 29 Sep 2023 07:21:10 GMT</pubDate>
    <dc:creator>PYS</dc:creator>
    <dc:date>2023-09-29T07:21:10Z</dc:date>
    <item>
      <title>inverse prediction</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/682194#M86783</link>
      <description>&lt;P&gt;Dear,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I saved a prediction formula of a linear weighted regression and would like to use it to make inverse predictions for a new y column.&lt;/P&gt;&lt;P&gt;How may I do it?&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;PY&lt;/P&gt;</description>
      <pubDate>Fri, 29 Sep 2023 07:21:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/682194#M86783</guid>
      <dc:creator>PYS</dc:creator>
      <dc:date>2023-09-29T07:21:10Z</dc:date>
    </item>
    <item>
      <title>Re: inverse prediction</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/682350#M86793</link>
      <description>&lt;P&gt;Inverse prediction is provided in the fitting platforms such as Fit Least Squares. The data table does not provide for an inverse prediction. You must manually solve for the desired variable in the model. You could then create a new column formula.&lt;/P&gt;</description>
      <pubDate>Fri, 29 Sep 2023 13:57:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/682350#M86793</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-09-29T13:57:36Z</dc:date>
    </item>
    <item>
      <title>Re: inverse prediction</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/683060#M86858</link>
      <description>&lt;P&gt;Thank you for the answer.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 02 Oct 2023 15:01:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/683060#M86858</guid>
      <dc:creator>PYS</dc:creator>
      <dc:date>2023-10-02T15:01:37Z</dc:date>
    </item>
    <item>
      <title>Re: inverse prediction</title>
      <link>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/683086#M86863</link>
      <description>&lt;P&gt;The &lt;A href="https://www.jmp.com/support/help/en/17.0/#page/jmp/profiler.shtml#" target="_self"&gt;Prediction Profiler&lt;/A&gt; is another tool that could help. You can set a goal for the Y variable and then it will maximize the desirability of the goal with the X settings.&lt;/P&gt;</description>
      <pubDate>Mon, 02 Oct 2023 16:12:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/inverse-prediction/m-p/683086#M86863</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-10-02T16:12:28Z</dc:date>
    </item>
  </channel>
</rss>

