fitted.seedCCA: Fitted values of ordinary and partial least squares

In seedCCA: Seeded Canonical Correlation Analysis

Fitted values of ordinary and partial least squares

Description

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

Usage

## S3 method for class 'seedCCA'
fitted(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 fitted values for u projections. For example, if it is specified at k, then the fitted values with k projections are returned.
...	arguments passed to the fitted.method

Examples

########  data(cookie) ########
########  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")
fit.pls2 <- seedCCA(X, Y[,1], type="pls", scale=TRUE)

fitted(fit.ols1)
fitted(fit.pls1)
fitted(fit.pls1, u=4)
fitted(fit.pls2, u=4)

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