weighted.residuals {stats}  R Documentation 
Computed weighted residuals from a linear model fit.
weighted.residuals(obj, drop0 = TRUE)
obj 

drop0 
logical. If 
Weighted residuals are based on the deviance residuals, which for
a lm
fit are the raw residuals R_i
multiplied by \sqrt{w_i}
, where w_i
are the
weights
as specified in lm
's call.
Dropping cases with weights zero is compatible with
influence
and related functions.
Numeric vector of length n'
, where n'
is the number
of non0 weights (drop0 = TRUE
) or the number of
observations, otherwise.
residuals
, lm.influence
, etc.
## following on from example(lm)
all.equal(weighted.residuals(lm.D9),
residuals(lm.D9))
x < 1:10
w < 0:9
y < rnorm(x)
weighted.residuals(lmxy < lm(y ~ x, weights = w))
weighted.residuals(lmxy, drop0 = FALSE)