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prc-class

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)

See Also


kernlab

Kernel-Based Machine Learning Lab

v0.9-29
GPL-2
Authors
Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]
Initial release

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