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    <title>topic Re: curve fit for multi variables equation in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9864#M9643</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Adel,&amp;nbsp; I would start with the "Fit Model" platform and discover the best equation for y=f(X1, X2, X3).&amp;nbsp; Then, it will be a pretty easy exercise to plot your data on a 3-D graph.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 13 Oct 2014 15:47:14 GMT</pubDate>
    <dc:creator>Steven_Moore</dc:creator>
    <dc:date>2014-10-13T15:47:14Z</dc:date>
    <item>
      <title>curve fit for multi variables equation</title>
      <link>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9863#M9642</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I have some results, I want to use curve fit to find the equation which can describe the relation between the variables.I have three(3) variables so the equation should has this format " y=f( x1, x2, x3 ) " . I would be appreciate if you lead me how can I use curve fit to find an equation with three variables?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 13 Oct 2014 08:19:55 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9863#M9642</guid>
      <dc:creator>adel_hassanvand</dc:creator>
      <dc:date>2014-10-13T08:19:55Z</dc:date>
    </item>
    <item>
      <title>Re: curve fit for multi variables equation</title>
      <link>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9864#M9643</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Adel,&amp;nbsp; I would start with the "Fit Model" platform and discover the best equation for y=f(X1, X2, X3).&amp;nbsp; Then, it will be a pretty easy exercise to plot your data on a 3-D graph.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 13 Oct 2014 15:47:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9864#M9643</guid>
      <dc:creator>Steven_Moore</dc:creator>
      <dc:date>2014-10-13T15:47:14Z</dc:date>
    </item>
    <item>
      <title>Re: curve fit for multi variables equation</title>
      <link>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9865#M9644</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Adel,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Have you fit the model and then saved the prediction formula?&amp;nbsp; If so, you can go to your data table and right click on the column header for the prediction formula and then select "Formula" from the list.&amp;nbsp; This will show the formula in the format you suggest above, keeping in mind that Y is implied.&amp;nbsp; If you want to see how predictive your model is go to the Fit YbyX platform and then put the original Y data in Y Response and the saved prediction formula in X Factor and click OK.&amp;nbsp; You can then go to the red hot spot by Bivariate fit and select Fit Line to get fit statistics.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 22 Oct 2014 12:38:39 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/curve-fit-for-multi-variables-equation/m-p/9865#M9644</guid>
      <dc:creator>Bill_Worley</dc:creator>
      <dc:date>2014-10-22T12:38:39Z</dc:date>
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