I run a multilevel model (unconflated multilevel model) with multiple dependent variables that are highly correlated (>.90). A reviewer mentioned that in this way the unique relationships with the three DV's are (potentially) not examined. But when I run a separate model each DV, I get corresponding results. What is recommended?