Torrubias, J.A.G.Romera, RosarioUniversidad Carlos III de Madrid. Departamento de Estadística2009-12-232009-12-231997-09https://hdl.handle.net/10016/6215PLS regression methods have been used in applied fields for two decades. Techniques based on iteratively reweighted regression have appeared in the specialized Iiterature with the contaminated data case. We propose a new robust PLS technique based on the Stahel-Donoho estimator. Computational results showing the better robustness and efficiency of the new method are included.application/pdfengAtribución-NoComercial-SinDerivadas 3.0 EspañaPartial least squaresrobust regression methodsrobust covariance matricesStahel-Donoho estimatorOn robust partial least square (pls) methodsworking paperEstadísticaopen access