Hidden Markov model for Multivariate time series problem

I'm new to HMM and confused about it. I know it can be used to predict variable A at (t+1) if I give the past values of A. Face with multivariate time series, I have many series of variables A, B, C, ... and want to predict values of A in feature. It seems impossible in HMM, isn't right?