How to make linear regression with two dependant variables

I have a datase with 90 independent variables (features) and two dependant variables (two classes or two column classes). Is there any way to make linear regression with both two classes at the same time?
I can make linear regression first with one class, then with second class, but I do not know how to combine both regressions.

Thanks for help.

Source: Python Questions