Few works deal with conformal prediction for multi-target regression. This paper focuses on providing valid (i.e., frequency calibrated) multi-variate predictions. To do so, we propose to use copula functions for inductive conformal prediction, and empirically show that the proposed method ensures efficiency and validity for multi-target regression problems on various data sets.