Implements the supervised multidimensional scaling (superMDS) proposal of Witten and Tibshirani (2011)

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Documentation for package ‘superMDS’ version 1.0.2

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superMDS-package Supervised multidimensional scaling for visualization, classification, and bipartite ranking
superMDS Supervised multidimensional scaling for visualization, classification, and bipartite ranking
TestSuperMDS Given the configuration points of a set of training observations, and the dissimilarities between the training and test observations, compute the configuration points for a set of test observations.
TrainSuperMDS Find a set of configuration points that agree with a dissimilarity matrix D and a vector of class labels y