A [formula omitted]NN procedure in semiparametric functional data analysis.

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. [ABSTRACT FROM AUTHOR]