解释变量1	解释变量2	解释变量3	解释变量4	解释变量5	解释变量6
1.431	0.424	28.439	182.3	110.831	-293.756
1.651	0.318	33.287	250.835	152.497	-162.076
1.027	0.003	22.314	209.87	127.592	-153.508
1.081	0.001	24.029	176.446	107.272	-142.257
1.117	0.164	25.75	145.37	88.379	-294.591
1.484	0.188	32.626	166.437	101.187	-360.097
1.325	0.442	25.108	173.032	105.196	-327.462
1.519	0.804	27.114	183.501	111.561	-289.782
1.329	0.621	20.759	113.244	68.848	-658.805
1.02	0.549	16.086	114.542	69.637	-619.165
1.209	0.633	19.215	150.918	91.752	-194.209
1.573	0.741	24.169	210.993	128.275	-133.067
0.943	0.6	14.548	204.009	124.029	-155.778
0.829	0.667	12.946	204.971	124.614	-134.152
0.927	0.812	14.594	398.204	242.091	-122.255
0.167	0.61	2.422	286.634	174.261	-133.654
-0.293	0.49	-4.122	89.503	54.414	-236.781
-0.446	0.576	-6.198	-66.142	-40.212	-56.116
-0.053	0.571	-0.716	44.514	27.063	611.885
-0.133	0.213	-1.783	-51.718	-31.442	-41.645
-0.039	0.367	-0.536	-102.793	-62.494	-58.664
0.181	0.409	2.751	-16.555	-10.065	-18.585
0.025	0.16	0.442	-66.158	-40.221	-47.71
-0.134	0.22	-1.817	-159.184	-96.777	-68.74
0.045	0.155	0.85	-20.311	-12.348	-21.893
0.059	0.076	1.038	-52.438	-31.88	-41.981
-0.188	0.006	-2.626	-50.366	-30.62	-34.58
0.354	0.114	5.15	140.769	85.582	-206.032
0.324	-0.242	6.233	291.18	177.026	-148.341

解释变量7	解释变量8	解释变量9	解释变量10	解释变量11	被解释变量
-576.35	3038.437	1847.244	-8949.161	-17558.29	0.6
-282.297	3992.413	2427.222	-6484.493	-11294.439	0.667
-418.446	2704.007	1643.925	-4163.383	-11348.898	0.812
-1260.496	2281.625	1387.134	-3257.498	-28863.787	0.61
605.611	2095.182	1273.784	-6196.863	12739.329	0.49
1117.915	2610.283	1586.944	-9428.13	29269.472	0.576
2568.14	2626.929	1597.064	-8628.615	67670.492	0.571
-11379.056	2724.996	1656.685	-7920.047	-311001.92	0.213
185.692	1834.922	1115.557	-12147.208	3423.841	0.367
233.605	1857.328	1129.179	-11556.339	4360.099	0.409
9312.993	2205.132	1340.629	-4298.943	206149.543	0.16
-338.246	2781.867	1691.26	-3712.606	-9437.154	0.22
-298.984	2363.908	1437.159	-3695.792	-7093.291	0.155
-224.157	2133.811	1297.269	-2874.695	-4803.394	0.076
-144.225	2633.445	1601.026	-3230.017	-3810.463	0.006
-202.274	1925.562	1170.662	-2588.069	-3916.818	0.114
228.624	1661.155	1009.914	-3992.523	3854.983	-0.242
-31.182	612.07	372.113	-336.585	-187.029	-0.255
42.943	1629.952	990.943	10256.156	719.794	-0.248
-25.383	919.83	559.218	-373.312	-227.538	-0.042
-40.435	903.872	549.517	-523.253	-360.658	-0.181
-9.953	991.052	602.519	-170.109	-91.103	-0.274
-30.643	1038.49	631.359	-485.897	-312.083	-0.169
-52.728	856.257	520.569	-583.427	-447.526	-0.11
-12.573	1144.935	696.073	-234.303	-134.559	-0.079
-27.054	1138.099	691.917	-465.796	-300.176	-0.025
-25.356	1008.787	613.301	-339.702	-249.089	0.095
-2097.228	1472.114	894.984	-3061.924	-31167.74	0.185
-197.858	1757.787	1068.662	-2622.88	-3498.408	0.358

return s:= regression(y,x,0.05,1);
tr:=s["Coefficient"];
return x:*(`(tr[1:length(tr)-1]))+tr[0] | y;
//预测效果图：

R:=corr(x,1);//检验多重共线性
return regress_vif(X);
//array("VIF":(0.508,0.452,0.166,0.00,0.00,0.324,2.405,
//2.428,0.401,0.292,7.472),"Cond":INF)
s:=regress_pri(y,x,0.85,0.05);//主成分回归
//return s;
tr:= s["Coefficient"];
return x:*(`(tr[1:length(tr)-1]))+tr[0] | y; //主成分回归预测值与实际值的比较

主成分回归结果：
Regression Regress_Ridge Regress_Stepwise Regress_VIF boxcox