seedCCA (version 3.1)

coef.seedCCA: Coefficients of ordinary and partial least squares through iterative projections

Description

Returns coefficients of partial least squares through iterative projections. It works only for subclasses "seedols" and seedpls".

Usage

# S3 method for seedCCA
coef(object, u=NULL,…)

Arguments

object

The name of an object of class "seedCCA"

u

numeric, the number of projections. The default is NULL. This option is valid for PLS alone. The option returns the coefficient estimates for u projections. For example, if it is specified at k, then the coefficient estimates with k projections are returned.

…

arguments passed to the coef.method

Examples

# NOT RUN {
########  data(cookie) ########
data(cookie)
myseq<-seq(141,651,by=2)
X<-as.matrix(cookie[-c(23,61),myseq])
Y<-as.matrix(cookie[-c(23,61),701:704])

fit.ols1 <- seedCCA(X[,1:4], Y[,1], type="cca")
fit.pls1 <- seedCCA(X,Y[,1],type="pls")

coef(fit.ols1)
coef(fit.pls1)
coef(fit.pls1, u=4)
# }