plsDAPara-class: An S4 class to represent the parameters for PLS-DA analysis
In metaX: An R package for metabolomic data analysis

An S4 class to represent the parameters for PLS-DA analysis

`para`	A metaXpara object
`value`	New value

A object of plsDAPara

scale: The method used to scale the data, see preProcess in metaX
center: A logical which indicates if the matrix should be mean centred or not
t: The method used to transform the data, see transformation in metaX
validation: The method for validation, default is "CV"
ncomp: The number of components used for PLS-DA, default is 2
nperm: The number of permutations, default is 200
kfold: The number of folds for cross-validation, default is 7
do: A logical which indicates whether to do the plsDA analysis, default is TRUE
method: The method used in PLS-DA. See plsr in pls
cpu: The number of cpus used, default is all cpus.