These are the workhorse functions called by manylm
used
to fit multivariate linear models. These should usually not be used
directly unless by experienced users.
1 2  manylm.fit(x, y, offset = NULL, tol=1.0e010, singular.ok = TRUE, ...)
manylm.wfit(x, y, w, offset = NULL, tol=1.0e010, singular.ok = TRUE, ...)

x 
design matrix of dimension 
y 
matrix or an 
w 
vector of weights (length 
offset 
numeric of length 
tol 
tolerance for the 
singular.ok 
logical. If 
... 
currently disregarded. 
a list with components
coefficients 

residuals 

fitted.values 

weights 

rank 
integer, giving the rank 
qr 
(not null fits) the QR decomposition. 
df.residual 
degrees of freedom of residuals 
hat.X 
the hat matrix. 
txX 
the matrix 
Ulrike Naumann and David Warton <David.Warton@unsw.edu.au>.
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.