Abstract：Partial least square regression method does not directly consider the regression problem of dependent variables and independent variables，but extract the new integral variables with relation to the system. It can determine the number of components，and especially in analysis of the correlation between the single dependent variable and multi-independent-variables，the results are more satisfactory. The neural network has the ability of self adaptive learning and remembering，and the three-layer BP network has wide application. By associating the two methods，with the deformation modulus of rock mass being the dependent variable and seven factors of rock mass being the independent variables，the data from the observation of the Jiaozuo-Jincheng highway are analyzed and the maximum error between calculation and observation is 5.43%，which is better than the error of 19.07% by the partial least square regression method. So the association method gives a new way for the selection of parameters.
