rediduals-methods: Residuals values from a PCA model.

In hredestig/pcaMethods: A collection of PCA methods

Residuals values from a PCA model.

Description

This function extracts the residuals values from a pcaRes object for the PCA methods SVD, Nipals, PPCA and BPCA

Usage

## S3 method for class 'pcaRes'
residuals(object, data = completeObs(object), ...)

## S4 method for signature 'pcaRes'
residuals(object, data = completeObs(object), ...)

## S4 method for signature 'pcaRes'
resid(object, data = completeObs(object), ...)

Arguments

object	pcaRes the pcaRes object of interest.
data	matrix The data that was used to calculate the PCA model (or a different dataset to e.g. adress its proximity to the model).
...	Passed on to predict.pcaRes. E.g. setting the number of used components.

Value

A matrix with the residuals

Author(s)

Henning Redestig

Examples

data(iris)
pcIr <- pca(iris[,1:4])
head(residuals(pcIr, iris[,1:4]))

hredestig/pcaMethods documentation built on Sept. 30, 2023, 10:38 a.m.