pca.cal: PCA model calibration

In mdatools: Multivariate Data Analysis for Chemometrics

PCA model calibration

Description

Calibrates (builds) a PCA model for given data and parameters

Usage

pca.cal(x, ncomp, center, scale, method, rand = NULL)

Arguments

x	matrix with data values
ncomp	number of principal components to calculate
center	logical, do mean centering or not
scale	logical, do standardization or not
method	algorithm for compiting PC space (only 'svd' and 'nipals' are supported so far)
rand	vector with parameters for randomized PCA methods (if NULL, conventional PCA is used instead)

Value

an object with calibrated PCA model

mdatools documentation built on Sept. 11, 2024, 7:59 p.m.