Question about PLS-DA hyperparameter tuning [R]

Hi all! I am a bioinformatician and I am working on learning some ML tools for some disease/biomarker stuff. I am working with sparse PLS-DA at the moment. Before actually tuning the model, I run on overall global model (without sparsity) to get an idea of what my data looks like and to get to a starting point. Here is what that global model ends up looking like: global model So from this, I'm seeing that I should include 2 latent components in my model tuning and I chose to use the centroids.dist.