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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.

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, 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(s)

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. URL http://www.jstatsoft.org/v32/i03/.

See Also

Examples

showClass("PcaProj")

rrcov

Scalable Robust Estimators with High Breakdown Point

v1.5-5
GPL (>= 2)
Authors
Valentin Todorov [aut, cre] (<https://orcid.org/0000-0003-4215-0245>)
Initial release
2020-07-31

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