Apply PLSDA model to predict another data?

Question

I am developing a discriminant model using PLSDA (mixOmics package, the model works well by external validations. To do external validation, I use the predict() function. However, suppose now I have to give this prediction equation/model to my partner then how should that work? In a simple partial least square regression, we have an option to extract coefficients, but with plsda I could not see. Can you give me some advice about this? Thanks

Answer 1

predict.plsda predicts the class using a distance measure. You can see it in the outout's $class entry. Hope it helps.