VisCollin: Visualizing Collinearity Diagnostics
Provides methods to calculate diagnostics for multicollinearity among predictors in a linear or
generalized linear model. It also provides methods to visualize those diagnostics following Friendly & Kwan (2009),
"Where’s Waldo: Visualizing Collinearity Diagnostics", <doi:10.1198/tast.2009.0012>.
These include better tabular presentation of collinearity diagnostics that highlight the important numbers,
a semi-graphic tableplot of the diagnostics to make warning and danger levels more salient,
and a "collinearity biplot" of the smallest dimensions of predictor space, where collinearity is most apparent.
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