1、快速R2边际效用法：为完整回归的R2减去不包含变量 k 的回归的R2的差
2、平均R2边际效用法：考虑剔除回归的顺序
自变量较多时较消耗效率，一般在自变量不多于30个时使用
Y := array(11.73913,6.400963,5.016723,9.033813,8.083731,4.62963,
10.49114,17.20612,13.08374,7.745568);
X := array(
(37.0,48.0,5.333333,0.0,69.33332900000001),
(37.0,40.0,5.25,0.0,60.0),
(42.0,40.0,1.25,0.0,16.25),
(43.0,42.0,1.75,1.0,22.75),
(42.0,48.0,17.75,1.0,200.0),
(39.0,30.0,2.25,1.0,29.25),
(37.0,40.0,19.0,0.0,247.0),
(40.0,45.0,14.16667,1.0,150.0),
(40.0,8.0,5.5,1.0,71.5),
(40.0,50.0,2.25,1.0,29.25));
return Regress_Domin_Marginal(Y,X,nil,1);
//结果
array(
("变量名":0,"贡献度":0.03,"贡献率(%)":7.87,"排名":4),
("变量名":1,"贡献度":0.02,"贡献率(%)":6.93,"排名":5),
("变量名":2,"贡献度":0.13,"贡献率(%)":37.94,"排名":1),
("变量名":3,"贡献度":0.06,"贡献率(%)":15.86,"排名":3),
("变量名":4,"贡献度":0.11,"贡献率(%)":31.4,"排名":2));