Description Usage Arguments Value Author(s) See Also
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=1.0e-010, singular.ok = TRUE, ...)
manylm.wfit(x, y, w, offset = NULL, tol=1.0e-010, 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>.
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