svdpc.fit(X, Y, ncomp, stripped = FALSE, ...)
NA
s and Inf
s are not
allowed.NA
s and Inf
s
are not allowed.TRUE
the calculations are stripped
as much as possible for speed; this is meant for use with
cross-validation or simulations when only the coefficients are
needed. Defaults to FALSE
.ncomp
components. The dimensions of coefficients
are
c(nvar, npred, ncomp)
with nvar
the number
of X
variables and npred
the number of variables to be
predicted in Y
.fitted.values
are c(nobj, npred, ncomp)
with
nobj
the number samples and npred
the number of
Y variables.fitted.values
.X
.stripped
is TRUE
, only the components
coefficients
, Xmeans
and Ymeans
are returned.pcr
or mvr
with the argument
method="svdpc"
. The singular value decomposition is
used to calculate the principal components.mvr
plsr
pcr