Fast and simple linear model

fastLmPure(X, y, useDouble = FALSE)

Arguments

X	a model matrix
y	a vector containing the explained variable
useDouble	use float or double internally

fastLmPure returns a list with three components:

coefficients: a vector of coefficients
residuals: the residuals, that is response minus fitted values
fitted.values: the fitted mean values
stderr: a vector of the (estimated) standard errors of the coefficient estimates
df.residual: a scalar denoting the degrees of freedom in the model
intercept: a boolean denoting if a model with intercept was fitted

Single precision floats are used by default since not all devices support double precision.