xfit: Matrix fitting from a PCA or PLS model

In mlesnoff/rchemo: Dimension reduction, Regression and Discrimination for Chemometrics

Matrix fitting from a PCA or PLS model

Description

Function xfit calculates an approximate of matrix X (X_fit) from a PCA or PLS fitted on X.

Function xresid calculates the residual matrix E = X - X_fit.

Usage

xfit(object, X, ...)

## S3 method for class 'Pca'
xfit(object, X, ..., nlv = NULL) 

## S3 method for class 'Plsr'
xfit(object, X, ..., nlv = NULL) 

xresid(object, X, ..., nlv = NULL)

Arguments

object	A fitted model, output of a call to a fitting function.
X	The X-data that was used to fit the model object.
nlv	Number of components (PCs or LVs) to consider.
...	Optional arguments.

Value

See the examples.

Examples

n <- 6 ; p <- 4
X <- matrix(rnorm(n * p), ncol = p)
y <- rnorm(n)

nlv <- 3
fm <- pcasvd(X, nlv = nlv)
xfit(fm, X)
xfit(fm, X, nlv = 1)
xfit(fm, X, nlv = 0)

X - xfit(fm, X)
xresid(fm, X)

X - xfit(fm, X, nlv = 1)
xresid(fm, X, nlv = 1)

mlesnoff/rchemo documentation built on April 15, 2023, 1:25 p.m.