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    <title>topic Exponential Curve Fitting in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8169#M8163</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Look at my attached file.&amp;nbsp; I have fitted an Exponential 3P curve to data that is based on %.&amp;nbsp; I have added a range check as well as a response limit for my "% knockdown" column.&amp;nbsp; I would like to have my fit curve parameter estimates not exceed 100%.&amp;nbsp; Is there a way to do this?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 04 Mar 2014 16:40:50 GMT</pubDate>
    <dc:creator>bwanders</dc:creator>
    <dc:date>2014-03-04T16:40:50Z</dc:date>
    <item>
      <title>Exponential Curve Fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8169#M8163</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Look at my attached file.&amp;nbsp; I have fitted an Exponential 3P curve to data that is based on %.&amp;nbsp; I have added a range check as well as a response limit for my "% knockdown" column.&amp;nbsp; I would like to have my fit curve parameter estimates not exceed 100%.&amp;nbsp; Is there a way to do this?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Mar 2014 16:40:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8169#M8163</guid>
      <dc:creator>bwanders</dc:creator>
      <dc:date>2014-03-04T16:40:50Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential Curve Fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8170#M8164</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Instead of using the Fit Curve personality of Nonlinear, you can use the Custom Model personality (Help Index: Nonlinear Platform, Custom Models).&lt;/P&gt;&lt;P&gt;1. Create a column formula (say in column MyFormula) with &lt;STRONG&gt;&lt;EM&gt;parameters&lt;/EM&gt;&lt;/STRONG&gt; a, b and c:&amp;nbsp; a + b*exp(c*Time)&lt;/P&gt;&lt;P&gt;2. In the initial Nonlinear dialog Put MyFormula in the X, Predictor Formula box and %Knock Down in the Y, Response box. Then click OK.&lt;/P&gt;&lt;P&gt;3. In the second Nonlinear dialog you can click the red triangle by Nonlinear Fit and choose the first item, Parameter Bounds. You will then have the opportunity to supply Lower and/or Upper bounds for each of a, b, and c.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 06 Mar 2014 18:44:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8170#M8164</guid>
      <dc:creator>mpb</dc:creator>
      <dc:date>2014-03-06T18:44:00Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential Curve Fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8171#M8165</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you.&amp;nbsp; This nonlinear custom model definitley brought me to a new place in JMP.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 06 Mar 2014 20:36:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-Curve-Fitting/m-p/8171#M8165</guid>
      <dc:creator>bwanders</dc:creator>
      <dc:date>2014-03-06T20:36:56Z</dc:date>
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