We propose a nested reduced-rank regression (NRRR) approach in fitting model with multivariate functional responses and predictors to achieve tailored dimension reduction facilitate interpretation visualization. Our is based on two-level low-rank structure imposed the surfaces. A global identifies small set of latent principal that drives underlying association. local then controls complexity s...