<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: How to fit model? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3105#M3105</link>
    <description>MS, Thank you for you advice. I would like to explain more what I want to do.&lt;BR /&gt;I have 3 input values (x1,x2 and x3) and the output y variable. &lt;BR /&gt;As I plot and fit the relations: &lt;BR /&gt;(x1,y) = linear regression, &lt;BR /&gt;(x2,y) = linear regression,&lt;BR /&gt;(x3,y) = polynomial degree=3. &lt;BR /&gt;So I would like to get transfer function for prediction the output Y.&lt;BR /&gt;I'm not sure which method should I use to get prediction formula by use fit model or neural net. Could you please advice more? &lt;BR /&gt;Thank a lot!&lt;BR /&gt;&lt;BR /&gt;Message was edited by: TT</description>
    <pubDate>Mon, 21 Mar 2011 03:44:38 GMT</pubDate>
    <dc:creator />
    <dc:date>2011-03-21T03:44:38Z</dc:date>
    <item>
      <title>How to fit model?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3103#M3103</link>
      <description>Hi All, Could you please advice how to fit both linear regression and polynomial (degree=3) model together? Thank you.</description>
      <pubDate>Fri, 18 Mar 2011 04:55:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3103#M3103</guid>
      <dc:creator />
      <dc:date>2011-03-18T04:55:46Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit model?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3104#M3104</link>
      <description>I am not sure exactly what you want to do, but it should be quite straightforward.&lt;BR /&gt;&lt;BR /&gt;In the Fit Model platform select Y variable(s), click "Y". Select linear effect and click "Add", select polynomial effect and enter "3" in the "Degree" field and finally select "Polynomial to Degree" in the "Macros" drop-down menu.</description>
      <pubDate>Fri, 18 Mar 2011 10:14:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3104#M3104</guid>
      <dc:creator>ms</dc:creator>
      <dc:date>2011-03-18T10:14:02Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit model?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3105#M3105</link>
      <description>MS, Thank you for you advice. I would like to explain more what I want to do.&lt;BR /&gt;I have 3 input values (x1,x2 and x3) and the output y variable. &lt;BR /&gt;As I plot and fit the relations: &lt;BR /&gt;(x1,y) = linear regression, &lt;BR /&gt;(x2,y) = linear regression,&lt;BR /&gt;(x3,y) = polynomial degree=3. &lt;BR /&gt;So I would like to get transfer function for prediction the output Y.&lt;BR /&gt;I'm not sure which method should I use to get prediction formula by use fit model or neural net. Could you please advice more? &lt;BR /&gt;Thank a lot!&lt;BR /&gt;&lt;BR /&gt;Message was edited by: TT</description>
      <pubDate>Mon, 21 Mar 2011 03:44:38 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3105#M3105</guid>
      <dc:creator />
      <dc:date>2011-03-21T03:44:38Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit model?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3106#M3106</link>
      <description>I have only little experience with neural nets, however as you seem to have a clear idea about your model and it's essentially linear I suggest Fit Model platform. Neural Net is more useful if the functional relationships are unknown or highly latent, at least that's my impression.&lt;BR /&gt;&lt;BR /&gt;Anyway, after you set up run your model in Fit Model you can get the prediction formula by choosing Save columns/Prediction Formula under the red triangle in the result window.</description>
      <pubDate>Mon, 21 Mar 2011 07:48:38 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3106#M3106</guid>
      <dc:creator>ms</dc:creator>
      <dc:date>2011-03-21T07:48:38Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit model?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3107#M3107</link>
      <description>Thanks again MS. I will try as your suggestion.</description>
      <pubDate>Mon, 21 Mar 2011 15:17:06 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-model/m-p/3107#M3107</guid>
      <dc:creator />
      <dc:date>2011-03-21T15:17:06Z</dc:date>
    </item>
  </channel>
</rss>

