A new approach is proposed for SVM multi-output regression in which a hyper-spherical insensitive function is defined and iterative procedure is used to obtain the desired solution.During the operation process support vectors can be found directly by lowering the rank of matrix.The results of the experimentations illustrate that M-SVR can get higher whole precision and enhanced capability of anti-noise while the time expense is little.