  We propose an estimation method that we call functional average variance
estimation (FAVE), for estimating the EDR space in functional semiparametric
regression model, based on kernel estimates of density and regression.
Consistency results are then established for the estimator of the interest
operator, and for the directions of EDR space. A simulation study that shows
that the proposed approach performs as well as traditional ones is presented.
