Hi, I am analysing a dataset which has a very little variation across the variable I want to predict (case or control), so when I do the opls with orthoI = NA gives me an error:
opls(dataMatrixfiltered, conditionFc, predI = 1, orthoI= NA) Error: No model was built because the predictive component was not significant
so I setup orthoI as 0 to get a model of PLS.
When I try to get the confusion matrix using the subsetVi as in the user guide I get the following:
trainVi <- getSubsetVi(experiment.oplsda) trainVi numeric(0)
Is there any way to get something to evaluate the model, even if is not a good one?