biplot                  Draw a bi-plot, comparing 2 selected principal
                        components / eigenvectors.
chooseGavishDonoho      Choosing PCs with the Gavish-Donoho method
chooseMarchenkoPastur   Choosing PCs with the Marchenko-Pastur limit
eigencorplot            Correlate principal components to continuous
                        variable metadata and test significancies of
                        these.
findElbowPoint          Find the elbow point in the curve of variance
                        explained by each successive PC. This can be
                        used to determine the number of PCs to retain.
getComponents           Return the principal component labels for an
                        object of class 'pca'.
getLoadings             Return component loadings for principal
                        components from an object of class 'pca'.
getVars                 Return the explained variation for each
                        principal component for an object of class
                        'pca'.
pairsplot               Draw multiple bi-plots.
parallelPCA             Perform Horn's parallel analysis to choose the
                        number of principal components to retain.
pca                     PCAtools
plotloadings            Plot the component loadings for selected
                        principal components / eigenvectors and label
                        variables driving variation along these.
screeplot               Draw a SCREE plot, showing the distribution of
                        explained variance across all or select
                        principal components / eigenvectors.
