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rrcov (version 1.7-6)

PcaProj-class: Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm

Description

Holds the results of an approximation of the PP-estimators for PCA by a fast and simple algorithm: Croux and Ruiz-Gazen (2005) algorithm.

Arguments

Objects from the Class

Objects can be created by calls of the form new("PcaProj", ...) but the usual way of creating PcaProj objects is a call to the function PcaProj() which serves as a constructor.

Slots

call, center, scale, rank, loadings, eigenvalues, scores, k, sd, od, cutoff.sd, cutoff.od, flag, n.obs:

from the "Pca" class.

Extends

Class "PcaRobust", directly. Class "Pca", by class "PcaRobust", distance 2.

Methods

getQuan

signature(obj = "PcaProj"): ...

Author

Valentin Todorov valentin.todorov@chello.at

References

Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1--47. tools:::Rd_expr_doi("10.18637/jss.v032.i03").

See Also

PcaRobust-class, Pca-class, PcaClassic, PcaClassic-class

Examples

Run this code
showClass("PcaProj")

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