

   LLiinneeaarriizzeedd QQuuaannttiillee EEssttiimmaattiioonn

        qrq(s, a)

   AArrgguummeennttss::

          s: data structure returned by the quantile regression
             function rq with t<0 or t>1.

          a: the vector of quantiles for which the correspond-
             ing linearized quantiles are to be computed.

   DDeessccrriippttiioonn::

        Compute linearized quantiles from rq data structure.

   VVaalluuee::

        a vector of the linearized quantiles corresponding to
        vector a, as interpolated from the second row of s$sol.

   SSeeee AAllssoo::

        rq and  trq  for further detail.

   EExxaammpplleess::

        x <- -10:10; y <- 0.2 * x + rt(x, df=3)
        z <- qrq(rq(x,y), a=0.1)       # assigns z the linearized quantiles
                                       # corresponding to vector a.

