Abstract
We apply the saddlepoint approximation of Gatto and Ronchetti (1996) to the multivariate R-estimator in the linear regression model. We derive confidence intervals from the saddlepoint approximation, following the bias-corrected method of Efron (1987). Our numerical examples show the approximations of marginal densities and confidence intervals to be accurate.