Fast computation of simple regression slopes for each predictor represented by a column in a matrix
mfastLmCpp(y, x, addintercept = TRUE)
A data frame with three variables: coefficients, stderr, and tstat that gives the slope estimate, the corresponding standard error, and their ratio for each column in x.
No error checking is done