Compute residual standard error of linear models.
The residual standard error is the square root of the residual sum of squares divided by the residual degrees of freedom.
Numeric, the residual standard error of
data(mtcars) m <- lm(mpg ~ hp + gear, data = mtcars) performance_rse(m)
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