  The paper deals with asymptotic properties of the adaptive procedure proposed
in the author paper, 2007, for estimating a unknown nonparametric regression.
We prove that this procedure is asymptotically efficient for a quadratic risk,
i.e. the asymptotic quadratic risk for this procedure coincides with the
Pinsker constant which gives a sharp lower bound for the quadratic risk over
all possible estimators.
