  A fast and flexible $k$NN procedure is developed for dealing with a
semiparametric functional regression model involving both partial-linear and
single-index components. Rates of uniform consistency are presented. Simulated
experiments highlight the advantages of the $k$NN procedure. A real data
analysis is also shown.
