breast.tumors           Human Breast Tumors Data
cim                     Clustered Image Maps (CIMs) ("heat maps")
data.simu               Simulation study for multilevel analysis
estim.regul             Estimate the parameters of regularization for
                        Regularized CCA
image.estim.regul       Plot the cross-validation score.
image.tune.rcc          Plot the cross-validation score.
imgCor                  Image Maps of Correlation Matrices between two
                        Data Sets
ipca                    Independent Principal Component Analysis
jet.colors              Jet Colors Palette
linnerud                Linnerud Dataset
liver.toxicity          Liver Toxicity Data
loo                     Internal Functions
mat.rank                Matrix Rank
multidrug               Multidrug Resistence Data
multilevel              Multilevel analysis for repeated measurements
                        (cross-over design)
nearZeroVar             Identification of zero- or near-zero variance
                        predictors
network                 Relevance Network for (r)CCA and (s)PLS
                        regression
nipals                  Non-linear Iterative Partial Least Squares
                        (NIPALS) algorithm
nutrimouse              Nutrimouse Dataset
pca                     Principal Components Analysis
pcatune                 Tune the number of principal components in PCA
perf                    Compute evaluation criteria for PLS, sPLS,
                        PLS-DA and sPLS-DA
pheatmap.multilevel     Clustered heatmap
plot.perf               Plot for model performance
plot.rcc                Canonical Correlations Plot
plot3dIndiv             Plot of Individuals (Experimental Units) in
                        three dimensions
plot3dVar               Plot of Variables in three dimensions
plotIndiv               Plot of Individuals (Experimental Units)
plotVar                 Plot of Variables
pls                     Partial Least Squares (PLS) Regression
plsda                   Partial Least Squares Discriminate Analysis
                        (PLS-DA).
predict.splsda          Predict Method for PLS, sPLS, PLS-DA or sPLS-DA
print                   Print Methods for CCA, (s)PLS, PCA and Summary
                        objects
prostate                Human Prostate Tumors Data
rcc                     Regularized Canonical Correlation Analysis
s.match                 Plot of Paired Coordinates
scatterutil.base        Graphical utility functions from ade4
select.var              Output of selected variables
sipca                   Independent Principal Component Analysis
spca                    Sparse Principal Components Analysis
spls                    Sparse Partial Least Squares (sPLS)
splsda                  Sparse Partial Least Squares Discriminate
                        Analysis (sPLS-DA)
srbct                   Small version of the small round blue cell
                        tumors of childhood data
summary                 Summary Methods for CCA and PLS objects
tune.multilevel         Tuning functions for multilevel analyses
tune.pca                Tune the number of principal components in PCA
tune.rcc                Estimate the parameters of regularization for
                        Regularized CCA
vac18                   Vaccine study Data
valid                   Compute validation criterion for PLS, sPLS,
                        PLS-DA and sPLS-DA
vip                     Variable Importance in the Projection (VIP)
wrapper.rgcca           mixOmics wrapper for Regularised Generalised
                        Canonical Correlation Analysis (rgcca)
wrapper.sgcca           mixOmics wrapper for Sparse Generalised
                        Canonical Correlation Analysis (sgcca)
yeast                   Yeast metabolomic study