isometric logratio transformation
compute and plot cluster validity
Plot trimmed SEP from repeated DCV of PRM
Diagnostics plot for PCA
Eigenvector algorithm for PLS
Phenyl data set
Hyptis data set
Robust PLS
Classification tree evaluation by CV
PCA diagnostics for variables
Stepwise regression
additive logratio transformation
Data from cereals
Plot results of Ridge regression
glass vessels data
Plot residuals from repeated DCV of PRM
Plot residuals from repeated DCV
Plot predictions from repeated DCV of PRM
Plot predictions from repeated DCV
This package is the R companion to the book "Introduction to Multivariate
Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
Draws ellipses according to Mahalanobis distances
PCA calculation with the NIPALS algorithm
Neural network evaluation by CV
Repeated double-cross-validation for robust PLS
PLS1 by NIPALS
Repeated double-cross-validation for PLS and PCR
CV for Lasso regression
kNN evaluation by CV
Repeated Cross Validation for lm
Support Vector Machine evaluation by CV
Determine the number of PCA components with repeated cross validation
Generating random projection directions
Component plot for repeated DCV of PRM
Plot SEP from repeated DCV
Plot SOM results
Component plot for repeated DCV
Cross-validation for robust PLS
glass types of the glass data
GC retention indices
ash data
centered logratio transformation
Plot results from robust PLS
Delete intercept from model matrix
Plots classical and robust Mahalanobis distances
Plot Lasso coefficients
Repeated CV for Ridge regression
NIR data
PLS2 by NIPALS
Trimmed standard deviation