oscorespls.fit(X, Y, ncomp, stripped = FALSE,
tol = .Machine$double.eps^0.5, ...)
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.plsr
or mvr
with the argument
method="oscorespls"
. It implements the orthogonal scores
algorithm, as described in Martens and N�s (1989). This is one
of the two mvr
plsr
pcr
kernelpls.fit
simpls.fit