Category Archives: Methods

Currently improving the pca and nipals for further graphical outputs

plsda and splsda have been further improved so that all the S3 functions predict, print, plotIndiv, plot3dIndiv can be used with these new classes Several prediction methods are now available to predict the classes of test data with plsda andsplsda, see argument ‘method’ (max.dist, class.dist, centroids.dist, mahalanobis.dist) in … Continue reading →

plsda and splsda functions are implemented to perform PLS Discriminant Analysis (PLS-DA) and sparse PLS-DA respectively breast.tumors data 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 … Continue reading →