PLSDA: Applies PLSDA to the provided data
In MAIT: Statistical Analysis of Metabolomic Data

Function PLSDA performs Fisher's LSD tests on the data using the package plsgenomics

PLSDA(Xtrain, 
      Ytrain, 
      Xtest = NULL, 
      ncomp,
      nruncv = 0, 
      alpha = 2/3, 
      priors = NULL)

`Xtrain`	A numerical matrix containing the data
`Ytrain`	A factor vector containing the class labels of the samples
`Xtest`	A numerical matrix containing the data whose class is to be predicted.
`ncomp`	Number of components to build the PCA model
`nruncv`	Number of cross-validation iterations to be performed for the choice of the number of latent components
`alpha`	The proportion of Obesrvations to be included in the training set at each cross-validation iteration
`priors`	The class priors to be used for linear discriminant analysis. If unspecified, the class proportions in the training set are used.