pub fn mul(
x: &[f64],
xstride: usize,
y: &[f64],
ystride: usize,
n: usize
) -> (Value, f64, f64, f64)Expand description
This function computes the best-fit linear regression coefficient c1 of the model Y = c_1 X for the datasets (x, y), two vectors of length n with strides xstride and ystride. The errors on y are assumed unknown so the variance of the parameter c1 is estimated from the scatter of the points around the best-fit line and returned via the parameter cov11. The sum of squares of the residuals from the best-fit line is returned in sumsq.
Returns (Value, c1, cov11, sumsq).