prc-class {kernlab} | R Documentation

## 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 coresponding 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"` containg 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")`: embeeds new data
xmatrix
  `signature(object = "prc")`: returns the used data matrix

### Author(s)

Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at

### See Also

`kpca-class`,`kha-class`, `kfa-class`

[Package kernlab version 0.8-1 Index]