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    <title>topic Re: Is there a way to constrain a model so predictions are limited within a certain response range? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430518#M68024</link>
    <description>&lt;P&gt;You might have to break this into several steps. You might apply the logit transform to your response (be sure to represent it as 0 to 1, not 0 to 100). Fit this new response, save the model, then back transform the predictions.&lt;/P&gt;</description>
    <pubDate>Tue, 26 Oct 2021 16:07:00 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2021-10-26T16:07:00Z</dc:date>
    <item>
      <title>Is there a way to constrain a model so predictions are limited within a certain response range?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430424#M68012</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a space-filling DoE with a response that ranges from 0 to 100%, is there a way to constrain the model (specifically a Gaussian Process model, if possible) so that model predictions are don't go below 0 and above 100%? I'm using JMP Pro 15, if that helps.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you,&amp;nbsp;&lt;/P&gt;&lt;P&gt;Shama&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:40:57 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430424#M68012</guid>
      <dc:creator>schilakwad</dc:creator>
      <dc:date>2023-06-09T00:40:57Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to constrain a model so predictions are limited within a certain response range?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430518#M68024</link>
      <description>&lt;P&gt;You might have to break this into several steps. You might apply the logit transform to your response (be sure to represent it as 0 to 1, not 0 to 100). Fit this new response, save the model, then back transform the predictions.&lt;/P&gt;</description>
      <pubDate>Tue, 26 Oct 2021 16:07:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430518#M68024</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-10-26T16:07:00Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to constrain a model so predictions are limited within a certain response range?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430525#M68025</link>
      <description>&lt;P&gt;This suggestion is commonly performed in logistic regression, which is modeling the proportion (probability) of an outcome. The logit function converts the [0,1] variable to [-inf,+inf]. Here is the back transform:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="back transform.PNG" style="width: 830px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/37015i6104920BB6B81BE3/image-size/large?v=v2&amp;amp;px=999" role="button" title="back transform.PNG" alt="back transform.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The Lin[x] in this formula would be replace by your prediction formula column.&lt;/P&gt;</description>
      <pubDate>Tue, 26 Oct 2021 16:37:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/430525#M68025</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-10-26T16:37:14Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to constrain a model so predictions are limited within a certain response range?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/431032#M68079</link>
      <description>&lt;P&gt;That's great, thank you. I'll give that a try!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 28 Oct 2021 13:23:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/431032#M68079</guid>
      <dc:creator>schilakwad</dc:creator>
      <dc:date>2021-10-28T13:23:10Z</dc:date>
    </item>
    <item>
      <title>Re: Is there a way to constrain a model so predictions are limited within a certain response range?</title>
      <link>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/431035#M68080</link>
      <description>&lt;P&gt;Thank you, that's really helpful.&lt;/P&gt;</description>
      <pubDate>Thu, 28 Oct 2021 13:23:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Is-there-a-way-to-constrain-a-model-so-predictions-are-limited/m-p/431035#M68080</guid>
      <dc:creator>schilakwad</dc:creator>
      <dc:date>2021-10-28T13:23:37Z</dc:date>
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