Abstract: All primitive variables are contained in partial least－squares regression model. When there are lots of variables, the result is extremely complicated, that result analysis and explanation is very difficult. Through model lamination establishment, the problem is solved by Hierarchical PLS (Hi-PLS) regression. Application in engineering projects indicates that the model precision is higher and the model is suitable for regression analysis which has large-amount variables.