More than one Y variable?

In this case we have 14 CORRELATED dependent variables (Y variables), undermining the default setting of most regression models.
So is it even legit to continue using the regression algorithms with Y being nxm instead of nx1?
If not, are there multivariate methods that deal with the correlation within Y?