  We introduce a multidimensional walk with memory and random tendency. The
asymptotic behaviour is characterized, proving a law of large numbers and
showing a phase transition from diffusive to superdiffusive regimes. In first
case, we obtain a functional limit theorem to Gaussian vectors. In
superdiffusive, we obtain strong convergence to a non-Gaussian random vector
and characterize its moments.
