prc-class: Class "prc"

In kernlab: Kernel-Based Machine Learning Lab

Class "prc"

Description

Principal Components Class

Objects of class "prc"

Objects from the class cannot be created directly but only contained in other classes.

Slots

pcv:

Object of class "matrix" containing the principal component vectors

eig:

Object of class "vector" containing the corresponding eigenvalues

kernelf:

Object of class "kfunction" containing the kernel function used

kpar:

Object of class "list" containing the kernel parameters used

xmatrix:

Object of class "input" containing the data matrix used

kcall:

Object of class "ANY" containing the function call

n.action:

Object of class "ANY" containing the action performed on NA

Methods

eig

signature(object = "prc"): returns the eigenvalues

kcall

signature(object = "prc"): returns the performed call

kernelf

signature(object = "prc"): returns the used kernel function

pcv

signature(object = "prc"): returns the principal component vectors

predict

signature(object = "prc"): embeds new data

xmatrix

signature(object = "prc"): returns the used data matrix

Author(s)

Alexandros Karatzoglou
[e-mail]

See Also

kpca-class,kha-class, kfa-class

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