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Forward Regression in R: From The Extreme Slow to the Extreme Fast
Volume 16, Issue 4 (2018), pp. 771–780
Michail Tsagris   Manos Papadakis  

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https://doi.org/10.6339/JDS.201810_16(4).00006
Pub. online: 24 February 2021      Type: Research Article      Open accessOpen Access

Published
24 February 2021

Abstract

Forward regression has been criticised heavily and one of the many reasons is regarding its speed and its stopping criteria. The main focus of this paper is on demonstrating how to make it efficient, using R. Our method worksfor continuous predictor variables only, as the use of the partial correlation plays the most important role.

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Keywords
forward regression partial correlation coefficient computational efficiency

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Journal of data science

  • Online ISSN: 1683-8602
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