I am hoping to apply Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA).
The closest thing I can find on the online manual is plsda.R. It is also the only hit for "Orthogonal" in the seacrh bar.
However, the only mention of "orthogonal" is the "orthogonal scores".
AFAIK, OPLS-DA is different from PLS-DA, and all descriptions/comments point to this being an implementation of PLS-DA, not OPLS-DA, and should not mention orthogonality.
Would there be anyone who can confirm if this model implements OPLS-DA? And/or if there is an alternative caret-compatible model that does?
I am hoping to apply Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA).
The closest thing I can find on the online manual is plsda.R. It is also the only hit for "Orthogonal" in the seacrh bar.
However, the only mention of "orthogonal" is the "orthogonal scores".
AFAIK, OPLS-DA is different from PLS-DA, and all descriptions/comments point to this being an implementation of PLS-DA, not OPLS-DA, and should not mention orthogonality.
Would there be anyone who can confirm if this model implements OPLS-DA? And/or if there is an alternative caret-compatible model that does?