  In this paper a new smooth backfitting estimate is proposed for additive
regression models. The estimate has the simple structure of Nadaraya--Watson
smooth backfitting but at the same time achieves the oracle property of local
linear smooth backfitting. Each component is estimated with the same asymptotic
accuracy as if the other components were known.
