  This paper deals with a linear model of regression on quantiles when the
explanatory variable takes values in some functional space and the response is
scalar. We propose a spline estimator of the functional coefficient that
minimizes a penalized L1 type criterion. Then, we study the asymptotic behavior
of this estimator. The penalization is of primary importance to get existence
and convergence.
