Multiple correlations often exist among the different impact factors in a dam displacement prediction model,and will bring about a series of negative effects on regression modeling and analysis.However,the partial least-squares regression method can solve this problem in a reasonable manner.Based on the principle of PLS,and also combined with the measured site data,a partial least-squares regression model and a stepwise regression model for dam displacement monitoring are established.A comparison of these two models is made,and good results are achieved.