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I'm train a Partial Least Squares Discrimination Analysis with caret package.

My dataset dimensions are 80K rows, 50 continuous explanatory variables, and one response called Category (with 7 levels).

labelName = 'Category'
predictors = names(train)[!(names(train) %in% labelName)]

model_pls = train(train[,predictors], 
                  train[,labelName],
                  method="pls",
                  trControl=trainControl(method='none'),
                  tuneGrid= expand.grid(ncomp=8))

How to interpret the outputs for PLSDA? There are many outputs: scores, loadings, loading.weights, ... How to plot the scores within two components or latent variables? Is there any loadings plot function?

I need your help. Thanks in advance!

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