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Variable selection procedures in R: Forward, backward, stepwise, and best-subsets regression (2020)



This video demonstrates the use of the R package ‘olsrr’ to carry out various variable selection procedures (forward regression, backward regression, stepwise regression, all subsets/best subsets regression). A copy of the text file referenced in the video can be downloaded here (https://drive.google.com/open?id=1l_zH3AOelev0EgTjMb8_JihMCiEzNQdd) and a copy of the .RData file can be obtained here (https://drive.google.com/open?id=1_cRuM2-4dNhNxVPzgj8ddlpcrV-TAUZ2). A Powerpoint containing supplemental information can be downloaded here: https://drive.google.com/open?id=1F5u6rVb0Iym7UH0eeYscEKWLNOAc3Gmj

Link to ‘olsrr’ package documentation: https://cran.r-project.org/web/packages/olsrr/olsrr.pdf

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Re FjiDaniele Baranzini Recent comment authors
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Daniele Baranzini
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Daniele Baranzini

After this one Mike, (great again!) what about something on ridge, lasso elastic net regularization methods,… and …then please make an entry on Machine Learning methods…courious to check out how you tackle them : ) Daniele

Re Fji
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Re Fji

Extended regression models dear 😉🤝💪