pcv {pcv}R Documentation

Compute matrix with pseudo-validation set

Description

Compute matrix with pseudo-validation set

Usage

pcv(
  X,
  ncomp = min(round(nrow(X)/nseg) - 1, col(X), 20),
  nseg = 4,
  scale = FALSE
)

Arguments

X

matrix with calibration set (IxJ)

ncomp

number of components for PCA decomposition

nseg

number of segments in cross-validation

scale

logical, standardize columns of X prior to decompositon or not

Details

This is the old (original) version of PCV algorithm for PCA models. Use pcvpca instead. Ane check project web-site for details: https://github.com/svkucheryavski/pcv

The method computes pseudo-validation matrix Xpv, based on PCA decomposition of calibration set X and systematic (venetian blinds) cross-validation. It is assumed that data rows are ordered correctly, so systematic cross-validation can be applied

Value

Pseudo-validation matrix (IxJ)


[Package pcv version 1.1.0 Index]