multiblock

A collection of methods for analysis of data sets with more than two blocks of data.

Unsupervised methods:

• SCA - Simultaneous Component Analysis (sca)

• GCA - Generalized Canonical Analysis (gca)

• GPA - Generalized Procrustes Analysis (gpa)

• MFA - Multiple Factor Analysis (mfa)

• PCA-GCA (pcagca)

• DISCO - Distinctive and Common Components with SCA (disco)

• HPCA - Hierarchical Principal component analysis (hpca)

• MCOA - Multiple Co-Inertia Analysis (mcoa)

• JIVE - Joint and Individual Variation Explained (jive)

• STATIS - Structuration des Tableaux à Trois Indices de la Statistique (statis)

• HOGSVD - Higher Order Generalized SVD (hogsvd)

Design based methods:

• ASCA - Anova Simultaneous Component Analysis (asca)

Supervised methods:

• MB-PLS - Multiblock Partial Least Squares (mbpls)

• sMB-PLS - Sparse Multiblock Partial Least Squares (smbpls)

• SO-PLS - Sequential and Orthogonalized PLS (sopls)

• PO-PLS - Parallel and Orthogonalized PLS (popls)

• ROSA - Response Oriented Sequential Alternation (rosa)

• mbRDA - Multiblock Redundancy Analysis (mbrda)

Complex methods:

• L-PLS - Partial Least Squares in L configuration (lpls)

• SO-PLS-PM - Sequential and Orthogonalised PLS Path Modelling (sopls_pm)

Single- and two-block methods:

• PCA - Principal Component Analysis (pca)

• PCR - Principal Component Regression (pcr)

• PLSR - Partial Least Squares Regression (plsr)

• CCA - Canonical Correlation Analysis (cca)

• IFA - Interbattery Factor Analysis (ifa)

• GSVD - Generalized SVD (gsvd)

Datasets:

• Sensory assessment of candies (candies)

• Sensory, rheological, chemical and spectroscopic analysis of potatoes (potato)

• Data simulated to have certain characteristics (simulated)

• Wines of Val de Loire (wine)

Utility functions:

• Block-wise indexable data.frame (block.data.frame)

• Dummy-code a vector (dummycode)

See also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex.