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 <U+00E0> 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)
Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex.