nipals: PCA calculation with the NIPALS algorithm

nipalsR Documentation

PCA calculation with the NIPALS algorithm

Description

NIPALS is an algorithm for computing PCA scores and loadings.

Usage

nipals(X, a, it = 10, tol = 1e-04)

Arguments

X

numeric data frame or matrix

a

maximum number of principal components to be computed

it

maximum number of iterations

tol

tolerance limit for convergence of the algorithm

Details

The NIPALS algorithm is well-known in chemometrics. It is an algorithm for computing PCA scores and loadings. The advantage is that the components are computed one after the other, and one could stop at a desired number of components.

Value

T

matrix with the PCA scores

P

matrix with the PCA loadings

Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

References

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

See Also

princomp

Examples

data(glass)
res <- nipals(glass,a=2)

chemometrics documentation built on Aug. 25, 2023, 5:18 p.m.