## Example: analysis with PLS-DA
data(breast.tumors)
# tune components and distance
tune = tune.plsda(breast.tumors$gene.exp, as.factor(breast.tumors$sample$treatment),
ncomp = 5, logratio = "none",
nrepeat = 10, folds = 10,
progressBar = TRUE,
seed = 20) # set for reproducibility of example only
plot(tune) # optimal distance = centroids.dist
tune$choice.ncomp # optimal component number = 3
## Example: multilevel PLS-DA
data(vac18)
design <- data.frame(sample = vac18$sample) # set the multilevel design
tune1 <- tune.plsda(vac18$genes, vac18$stimulation,
ncomp = 5, multilevel = design,
nrepeat = 10, folds = 10,
seed = 20)
plot(tune1)
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