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    <title>topic Re: Specific Prediction Expression for Nonlinear Platform in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/433795#M68358</link>
    <description>&lt;P&gt;I hadn't noticed that since I just started using the Nonlinear platform.&amp;nbsp; Thanks!&lt;/P&gt;</description>
    <pubDate>Sat, 06 Nov 2021 23:03:15 GMT</pubDate>
    <dc:creator>Shujinko</dc:creator>
    <dc:date>2021-11-06T23:03:15Z</dc:date>
    <item>
      <title>Specific Prediction Expression for Nonlinear Platform</title>
      <link>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432313#M68204</link>
      <description>&lt;P&gt;I have nicely fit an exponential function to my data and want to get the literal prediction expression.&amp;nbsp; However, the prediction expressions on the Specialized Modeling --&amp;gt; Nonlinear platform only seem to be in a generalized sense.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How do I get the actual values, as I would in something like the Fit Y by X platform?&amp;nbsp; I did use the Fit Y by X to get actual values for the equation and found that I needed to specifically fit a 3rd degree exponential, but the fit wasn't as nice looking as with the Nonlinaer platform.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;First picture:&amp;nbsp; Specialized Modeling --&amp;gt; Nonlinear --&amp;gt; Exponential 3P&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2021-11-02 at 1.58.33 PM.png" style="width: 625px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/37211i11DF8ED4F9D54A59/image-size/large?v=v2&amp;amp;px=999" role="button" title="Screen Shot 2021-11-02 at 1.58.33 PM.png" alt="Screen Shot 2021-11-02 at 1.58.33 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;2nd Picture:&amp;nbsp; Fit Y by X --&amp;gt; Fit Special --&amp;gt; 3 Cubic, Exponential&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2021-11-02 at 2.01.49 PM.png" style="width: 444px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/37210i0F780236D27DCD65/image-size/large?v=v2&amp;amp;px=999" role="button" title="Screen Shot 2021-11-02 at 2.01.49 PM.png" alt="Screen Shot 2021-11-02 at 2.01.49 PM.png" /&gt;&lt;/span&gt;&amp;nbsp;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2021-11-02 at 2.01.40 PM.png" style="width: 445px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/37212i85ADC97EA333AE69/image-size/large?v=v2&amp;amp;px=999" role="button" title="Screen Shot 2021-11-02 at 2.01.40 PM.png" alt="Screen Shot 2021-11-02 at 2.01.40 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:41:25 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432313#M68204</guid>
      <dc:creator>Shujinko</dc:creator>
      <dc:date>2023-06-09T00:41:25Z</dc:date>
    </item>
    <item>
      <title>Re: Specific Prediction Expression for Nonlinear Platform</title>
      <link>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432366#M68209</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;Sorry if my answer is naive, but if I understand your question, you simply need to write a formula in a new column following the equation model of the Exponential 3P where you replace the a, b, and c terms with the Estimates for Asymptote, Scale, and Growth Rate, respectively.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-jsl"&gt;0.9588207 + -1.457947 * Exp( -2.401479 * :Log Hall Depression )&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Does that make sense?&lt;/P&gt;
&lt;P&gt;Best,&lt;/P&gt;
&lt;P&gt;TS&lt;/P&gt;</description>
      <pubDate>Wed, 03 Nov 2021 05:16:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432366#M68209</guid>
      <dc:creator>Thierry_S</dc:creator>
      <dc:date>2021-11-03T05:16:24Z</dc:date>
    </item>
    <item>
      <title>Re: Specific Prediction Expression for Nonlinear Platform</title>
      <link>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432563#M68228</link>
      <description>&lt;P&gt;The Parameter Estimates table presents the values from the nonlinear regression. What more do you want?&lt;/P&gt;</description>
      <pubDate>Wed, 03 Nov 2021 13:43:33 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/432563#M68228</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-11-03T13:43:33Z</dc:date>
    </item>
    <item>
      <title>Re: Specific Prediction Expression for Nonlinear Platform</title>
      <link>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/433795#M68358</link>
      <description>&lt;P&gt;I hadn't noticed that since I just started using the Nonlinear platform.&amp;nbsp; Thanks!&lt;/P&gt;</description>
      <pubDate>Sat, 06 Nov 2021 23:03:15 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Specific-Prediction-Expression-for-Nonlinear-Platform/m-p/433795#M68358</guid>
      <dc:creator>Shujinko</dc:creator>
      <dc:date>2021-11-06T23:03:15Z</dc:date>
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