summary_lm — summary

summary method for class ".lm.fit".. It's 200 times faster than traditional lm.

summary_lm(obj, ...)

Arguments

obj: Object returned by .lm.fit.
...: ignored

Value

a p x 4 matrix with columns for the estimated coefficient, its standard error, t-statistic and corresponding (two-sided) p-value. Aliased coefficients are omitted.

Examples

set.seed(129)
n <- 100
p <- 2
X <- matrix(rnorm(n * p), n, p) # no intercept!
y <- rnorm(n)

obj <- .lm.fit (x = cbind(1, X), y = y) 
info <- summary_lm(obj)