cmlr: Chatterjee Multiple Linear Regression
In jack-thomas/uwrfRegression: Automated Regression for UWRF Math 327

Performs multiple linear regression (with transformations) using the methodology taught by Dr. Arunendu Chatterjee for Fall 2016.

1	cmlr(x, vif.lim = 10, plot.out = FALSE, trace = 2, dir = "both")

`x`	a data frame for regression, where the first column is the dependent variable.
`vif.lim`	the maximum vif allowed when removing variables due to multicollinearity.
`plot.out`	a boolen value indicating whether to provide diagnostic plots.
`trace`	a nonnegative integer [0, 2], indicating how much diagnostic and processing information to print as the function runs. Specifically, 0 will print no information, 1 will print the initial and final models, and 2 will print everything.
`dir`	the direction in which you want to do stepwise model selection.