  Strong consistency of the Bayes estimator of a regression curve for the
$L^1$-squared loss function is proved. It is also shown the convergence to 0 of
the Bayes risk of this estimator both for the $L^1$ and $L^1$-squared loss
functions. The Bayes estimator of a regression curve is the regression curve
with respect to the posterior predictive distribution.
