Software and code
Classification toolbox (for MATLAB): a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discriminant Analysis (PLSDA), Classification trees (CART), K-Nearest Neighbors (kNN), Potential Functions (Kernel Density Estimators), Support Vector Machines (SVM) and Soft Independent Modeling of Class Analogy (SIMCA).

PCA toolbox (for MATLAB): a collection of MATLAB modules for calculating unsupervised multivariate models for data structure analysis: Principal Component Analysis (PCA), Multidimensional Scaling (MDS) and Cluster Analysis.

N3-BNN toolbox (for MATLAB): a collection of MATLAB modules for calculating N3 (N-Nearest Neighbours), BNN (Binned Nearest Neighbours) and kNN (k Nearest Neighbours) classification methods.

Kohonen and CPANN toolbox (for MATLAB): a collection of MATLAB modules for developing Kohonen Maps and Counterpropagation Artificial Neural networs (CPANNs), Supervised Kohonen networks and XY-fused networks.

Reshaped Sequential Replacement Toolbox (for MATLAB): is a collection of MATLAB modules for carrying out variable selection based on the Reshaped Sequential Replacement (RSR) algorithm.

Applicability Domain toolbox (for MATLAB): a collection of MATLAB modules for calculating the Applicability Domain (AD) of a set of samples and verify if test samples are inside or outside the AD.

The V-WSP variable reduction for MATLAB is a routine for calculating unsupervised variable reduction based on V-WSP algorithm.

MOLMAP multiway toolbox (for MATLAB): a collection of MATLAB modules for calculating MOLMAP scores on multiway data.

Matlab modules for Caiman (Classification And Influence Matrix ANalysis): a classification method exploiting the properties of the diagonal terms of the influence matrix.

Molecular Descriptor Correlations: a free tool for the analysis of molecular descriptor correlations calculated on 221,860 molecules.

Matlab modules for Hasse distances: a novel chemometric approach based on the partial ordering technique and the Hasse matrix.

Matlab modules for Variable Reduction Testbench: for the application of several methods for variable reduction based on correlation analysis

Distance-based optimal design (for MATLAB): routine for Distance-based optimal design divides a set of samples in two sets (training set and a complementary set).