I'm train a Partial Least Squares Discrimination Analysis with
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!