To improve on the ability to efficiently explore and approximate large subspaces of the multidimensional input variable models, find out the orthogonal and uniform combining point in experimental design, reduce the complexity of the experimental design algorithm, this research develops a new set of experimental designs for metamodeling. The traditional experimental designs are of orthogonal experimental design and uniform design, but the orthogonal experimental design has poor space-filling and the uniform design has a big correlation. The paper combines orthogonal Latin hypercube and uniform designs to create the designs with near orthogonality and excellent space-filling properties based on multiple measures. By using the method the nearly orthogonal experiment with eight to eleven variables is designed, each of which has thirty-three levels, to testify the nearly orthogonal experimental design. Through comparison and analysis, the results show that the nearly orthogonal experiment designed by this method has near orthogonality and excellent space-filling properties. So this method is feasible and of significance in improving the effect of computer experiments