egfried/Rvifmiqo: Eliminate Multicollinearity in Multiple Regression
This function loads data in two pieces, X and y. Then it selects the subset of variables that minimize multicollinearity using a mixed-integer optimization framework.
Getting started
Browse package contents
Package details |
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| Author | Emily Friedman [aut, cre], Kevin Smith [aut], Yuntian Wu [ctb] |
| Maintainer | Emily Friedman <egfried@umich.edu> |
| License | GPL (>= 2) |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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