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    <title>topic Shelf life Prediction of Pharmaceuticals by using Modified Arrhenius equation in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Shelf-life-Prediction-of-Pharmaceuticals-by-using-Modified/m-p/84059#M37748</link>
    <description>&lt;P&gt;Hi, Can someone help me fit this equation Ln k = Ln A - Ea/(RT) + B(%RH) in JMP file. we have a set of data as attahced. Is there any way in JMP that this data fits into the above equation adn extrapolate the value at 25&lt;SPAN&gt;°C for 2 years&lt;/SPAN&gt;. Thanks in advance.&lt;/P&gt;</description>
    <pubDate>Fri, 23 Nov 2018 12:52:10 GMT</pubDate>
    <dc:creator>ParsaKarthik</dc:creator>
    <dc:date>2018-11-23T12:52:10Z</dc:date>
    <item>
      <title>Shelf life Prediction of Pharmaceuticals by using Modified Arrhenius equation</title>
      <link>https://community.jmp.com/t5/Discussions/Shelf-life-Prediction-of-Pharmaceuticals-by-using-Modified/m-p/84059#M37748</link>
      <description>&lt;P&gt;Hi, Can someone help me fit this equation Ln k = Ln A - Ea/(RT) + B(%RH) in JMP file. we have a set of data as attahced. Is there any way in JMP that this data fits into the above equation adn extrapolate the value at 25&lt;SPAN&gt;°C for 2 years&lt;/SPAN&gt;. Thanks in advance.&lt;/P&gt;</description>
      <pubDate>Fri, 23 Nov 2018 12:52:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Shelf-life-Prediction-of-Pharmaceuticals-by-using-Modified/m-p/84059#M37748</guid>
      <dc:creator>ParsaKarthik</dc:creator>
      <dc:date>2018-11-23T12:52:10Z</dc:date>
    </item>
    <item>
      <title>Re: Shelf life Prediction of Pharmaceuticals by using Modified Arrhenius equation</title>
      <link>https://community.jmp.com/t5/Discussions/Shelf-life-Prediction-of-Pharmaceuticals-by-using-Modified/m-p/84077#M37757</link>
      <description>&lt;P&gt;See &lt;STRONG&gt;Help&lt;/STRONG&gt; &amp;gt; &lt;STRONG&gt;Reliability and Survival&lt;/STRONG&gt; &amp;gt; chapter about &lt;STRONG&gt;Accelerated Life Test&lt;/STRONG&gt;. You can apply tranforms and fit custom nonlinear models.&lt;/P&gt;</description>
      <pubDate>Fri, 23 Nov 2018 17:18:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Shelf-life-Prediction-of-Pharmaceuticals-by-using-Modified/m-p/84077#M37757</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2018-11-23T17:18:26Z</dc:date>
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