Dear Editor,
Herein is my response to manuscript ID LSTA-2018-1002, entitled “ An Enhanced Random Forest with Canonical Partial Least Squares for Classification ” by Chuanquan Li and colleagues to the Communications in Statistics – Theory and Methods.
The authors propose to use the canonical partial least squares algorithm to rotate the variable space within a random forest framework. This research is well-suited for the remit of the journal.
I recommend to accept with the following minor revisions: