step_regression.Rdthis function takes a design matrix x, and a response vector y
step_regression(x, y = NULL, labels = NULL, addIntercept = TRUE, mseOrder = TRUE)
| x | a matrix or variable that can be turned into a matrix via as.matrix. |
|---|---|
| y | the response vector. Defaults to NULL and redefined as the first column of x, or if that is constant, the last column of x |
| labels | a list of column labels. Defaults to NULL; and if NULL, redefind as the existing column names. Can reorder columns if mseOrder=FALSE |
| addIntercept | adds a column of ones as the first row of x to serve as an intercept. Defaults to TRUE. The 1s are added before missing ys are handled. |
| mseOrder | whether to order elements by their MSE if applied individually. Defaults to TRUE |
a matrix of residuals for each variable in x.