Least squares estimators of the regression function with twice censored data

We propose least squares estimators of E(Y/X=x)E(Y/X=x) for YY censored on the right by RR and min(Y,R)min(Y,R) left censored. We establish their convergence in the L2L2-norm. This work extends a known result in the context of right censoring.