Modeling-Function Overview

High-Level Modeling Functions
The following output a model structure (or similar) and are generally considered "high-level" modeling functions designed for relatively simple use by less-experienced users as well as expert users.

analysis - Graphical user interface for data analysis.
caltransfer - Create or apply calibration and instrument transfer models.   [demo]
cluster - KNN and K-means cluster analysis with dendrograms.   [demo]
cls - Classical Least Squares regression for multivariate Y.
corrspec - Resolves correlation spectroscopy maps.   [demo]
frpcr - Full-ratio PCR calibration and prediction.   [demo]
knn - K-nearest neighbor classifier.   [demo]
mcr - Multivariate curve resolution with constraints.   [demo]
mlr - Multiple Linear Regression for multivariate Y.   [demo]
modelselector - Create or apply a model selector model.
mpca - Multi-way (unfold) principal components analysis.   [demo]
npls - Multilinear-PLS (N-PLS) for true multi-way regression.   [demo]
parafac - Parallel factor analysis for n-way arrays.   [demo]
parafac2 - Parallel factor analysis for unevenly sized n-way arrays.   [demo]
pca - Principal components analysis.   [demo]
pcr - Principal components regression for multivariate Y.   [demo]
pls - Partial least squares regression for multivariate Y.   [demo]
plsda - Partial least squares discriminant analysis.   [demo]
purity - Self-modeling mixture analysis method based on purity of variables or spectra.   [demo]
simca - Soft Independent Method of Class Analogy.   [demo]
tld - Trilinear decomposition.   [demo]
tucker - Analysis for n-way arrays.   [demo]

Medium-Level Modeling Functions
The following provide functionality not generally available through another higher-level function and may be of use for certain analysis methods but also require more knowledge of Matlab and the methods involved.

gram - Generalized rank annihilation method.   [demo]
mlpca - Maximum likelihood principal components analysis.   [demo]
coda_dw - Calculates values for the Durbin_Watson criterion of columns of data set.   [demo]
comparelcms_sim_interactive - Interactive interface for COMPARELCMS.
cr - Continuum Regression for multivariate y.   [demo]
evolvfa - Evolving factor analysis (forward and reverse).   [demo]
ewfa - Evolving window factor analysis.   [demo]
glsw - Generalized least-squares weighting/preprocessing.   [demo]
gram - Generalized rank annihilation method.   [demo]
lwrpred - Predictions based on locally weighted regression models.   [demo]
mlpca - Maximum likelihood principal components analysis.   [demo]
polypls - PLS regression with polynomial inner-relation.   [demo]
ridge - Ridge regression by Hoerl-Kennard-Baldwin.   [demo]
wtfa - Window target factor analysis.   [demo]