kcca-class: Class "kcca"

In kernlab: Kernel-Based Machine Learning Lab

Class "kcca"

Description

The "kcca" class

Objects from the Class

Objects can be created by calls of the form new("kcca", ...). or by the calling the kcca function.

Slots

kcor:

Object of class "vector" describing the correlations

xcoef:

Object of class "matrix" estimated coefficients for the x variables

ycoef:

Object of class "matrix" estimated coefficients for the y variables

Methods

kcor

signature(object = "kcca"): returns the correlations

xcoef

signature(object = "kcca"): returns the estimated coefficients for the x variables

ycoef

signature(object = "kcca"): returns the estimated coefficients for the y variables

Author(s)

Alexandros Karatzoglou
[e-mail]

See Also

kcca, kpca-class

Examples

## dummy data
x <- matrix(rnorm(30),15)
y <- matrix(rnorm(30),15)

kcca(x,y,ncomps=2)

kernlab documentation built on Sept. 12, 2024, 6:51 a.m.