<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for reg-stat-inference</title>
    <link>https://pypi.org/project/reg-stat-inference/</link>
    <description>Recent updates to the Python Package Index for reg-stat-inference</description>
    <language>en</language>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.9/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Sat, 26 Aug 2023 21:02:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.8/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Sat, 26 Aug 2023 20:56:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.7/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Sat, 26 Aug 2023 20:16:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.6/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:59:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.5/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:53:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.4/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:35:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.3/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:30:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.2/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:19:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.1/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:18:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/reg-stat-inference/0.1.0/</link>
      <description>Treat multicollinearity and non-significant variables from your statsmodels linear and logistic regressions</description>
<author>ddasilvajunior@vio.com</author>      <pubDate>Wed, 23 Aug 2023 21:13:02 GMT</pubDate>
    </item>  </channel>
</rss>