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

In seedCCA: Seeded Canonical Correlation Analysis

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 class '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

########  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)

seedCCA documentation built on June 9, 2022, 9:05 a.m.