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    <title>topic Re: Determining missing results without testing them in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Determining-missing-results-without-testing-them/m-p/981067#M110717</link>
    <description>&lt;P&gt;Much depends on how you acquired the data, the model itself, the number of response variables and the type of factors in the model. One way to do this is to save the prediction formula in your data table. Select the Red triangle next to Response &amp;gt; Save Columns &amp;gt; Prediction Formula. Add rows to the bottom of your table and fill in the values you want and examine the Prediction Formula column for the answer. Often you can use the interactive Predition Profiler to move on the axis to the proposed input variable settings.&lt;/P&gt;</description>
    <pubDate>Tue, 03 Nov 2026 19:09:18 GMT</pubDate>
    <dc:creator>statman</dc:creator>
    <dc:date>2026-11-03T19:09:18Z</dc:date>
    <item>
      <title>Determining missing results without testing them</title>
      <link>https://community.jmp.com/t5/Discussions/Determining-missing-results-without-testing-them/m-p/981000#M110716</link>
      <description>&lt;P&gt;Good afternoon,&lt;/P&gt;
&lt;DIV&gt;I am trying to use a wider range of results to determine the factor profile for values that fall between the ones that weren't tested. How can I do this? Should I include the values I want to estimate as blank samples in my results table?&lt;/DIV&gt;
&lt;P&gt;I am using Analyze-Fit model-Factor Profiler-Profiler.&lt;/P&gt;
&lt;P&gt;Hope you can direct me to the right Analysis.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you,&lt;/P&gt;
&lt;P&gt;Mihaela&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Nov 2026 12:04:57 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Determining-missing-results-without-testing-them/m-p/981000#M110716</guid>
      <dc:creator>MONOCup12</dc:creator>
      <dc:date>2026-11-03T12:04:57Z</dc:date>
    </item>
    <item>
      <title>Re: Determining missing results without testing them</title>
      <link>https://community.jmp.com/t5/Discussions/Determining-missing-results-without-testing-them/m-p/981067#M110717</link>
      <description>&lt;P&gt;Much depends on how you acquired the data, the model itself, the number of response variables and the type of factors in the model. One way to do this is to save the prediction formula in your data table. Select the Red triangle next to Response &amp;gt; Save Columns &amp;gt; Prediction Formula. Add rows to the bottom of your table and fill in the values you want and examine the Prediction Formula column for the answer. Often you can use the interactive Predition Profiler to move on the axis to the proposed input variable settings.&lt;/P&gt;</description>
      <pubDate>Tue, 03 Nov 2026 19:09:18 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Determining-missing-results-without-testing-them/m-p/981067#M110717</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2026-11-03T19:09:18Z</dc:date>
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