  This paper deals with a nonparametric Nadaraya-Watson estimator $\hat b$ of
the drift function computed from independent continuous observations of a
diffusion process. Risk bounds on $\hat b$ and its discrete-time approximation
are established. The paper also deals with extensions of the PCO and
leave-one-out cross validation bandwidth selection methods for $\hat b$.
Finally, some numerical experiments are provided.
