plsdaandsplsdafunctions are implemented to perform PLS Discriminant Analysis (PLS-DA) and sparse PLS-DA respectivelybreast.tumorsdata set is introduced to illustrate the (s)PLS-DA- PCA can also been performed with missing values using the NIPALS algorithm and 3D plots are also available for PCA
- Network (updated) to display relevant associations between variables for (r)CCA and (s)PLS, with a new similarity function
- A new similarity measure has been included in
cimfunction and the argumentshclusfuncanddistfuncto display Clustered image maps (heatmaps)
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