yhat: Interpreting Regression Effects

The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.

Install the latest version of this package by entering the following in R:
AuthorKim Nimon <kim.nimon@gmail.com>, Fred Oswald, and J. Kyle Roberts.
Date of publication2013-09-16 00:43:36
MaintainerKim Nimon <kim.nimon@gmail.com>
LicenseGPL (>= 2)

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