  This paper deals with the nonparametric density estimation of the regression
error term assuming its independence with the covariate. The difference between
the feasible estimator which uses the estimated residuals and the unfeasible
one using the true residuals is studied. An optimal choice of the bandwidth
used to estimate the residuals is given. We also study the asymptotic normality
of the feasible kernel estimator and its rate-optimality.
