Table 5.

Fitting value of each variable in 34 groups of test data.

Seq	Residual ($\epsilon (j)$)	$y(j)$	$\widehat{y}(j)$	$f_1(j)$	$f_2(j)$	$f_3(j)$	$f_4(j)$
1	− 51.7157	13	64.7157	0.469	0.6358	0	0.7883
2	− 75.0268	0	75.0268	0.469	0.5012	0	0.926
3	24.9952	0	− 24.9952	0.814	0	0.434	0.2755
4	5.0252	36	30.9748	0.469	0	0	0.5128
5	− 7.1391	7	14.1391	1.4768	0.5012	0.4797	1
6	90.1081	150	59.8919	0.7818	0	0	1
7	15.4047	0	− 15.4047	0.7384	0.6653	0.5154	0.2755
8	540.1491	666	125.8509	1.4768	1.5036	0.3448	2.0256
9	32.3094	5	− 27.3094	1.5202	0.6358	0.434	0.5128
10	− 71.3479	0	71.3479	0.7384	0.6523	0	1
11	− 94.9525	2	96.9525	0.7384	0.6523	0.0277	1.3011
12	− 11.5495	21	32.5495	1.4768	0.7704	0.9137	1.3751
13	− 9.5117	19	28.5117	2.2152	0.5502	0.5818	1.5868
14	5.9277	0	− 5.9277	1.6195	0.5012	0.434	0.8264
15	− 39.5299	3	42.5299	1.2074	0.5012	0.7296	1.3011
16	− 0.1172	0	0.1172	1.6764	1.2716	0.434	0.7985
17	− 29.1725	70	99.1725	1.3501	1.7728	0.2634	1.5766
18	19.8815	0	− 19.8815	0.7384	0.5012	0	0
19	− 36.8891	0	36.8891	0.814	0.6523	0.1478	0.7245
20	1.6336	18	16.3664	1.4768	0.6523	0.0457	0.7883
21	33.6783	1	− 32.6783	2.2152	1.137	1.3948	1.2015
22	56.4111	1	− 55.4111	2.2152	1.137	0.868	0.6887
23	− 63.6412	3	66.6412	1.3501	1.6677	0	1.0996
24	7.4248	0	− 7.4248	0.469	0.5012	0	0
25	− 34.1548	14	48.1548	1.3501	0	0	1.1633
26	− 78.6989	0	78.6989	0.7384	1.0024	0	1.0256
27	− 74.1377	2	76.1377	1.4768	1.7332	0.9266	1.7143
28	− 30.9748	0	30.9748	0.469	0	0	0.5128
29	10.499	13	2.501	1.6195	0.1511	0.6095	1.0638
30	− 56.9038	33	89.9038	3.4226	2.8407	1.6468	3.0512
31	− 23.6578	8	31.6578	1.4768	0.3347	0.434	1.2015
32	54.8235	39	− 15.8235	2.5575	0.049	0	1.0638
33	− 65.2006	72	137.2006	4.8994	1.8058	0.6974	4.0536
34	− 43.9497	20	63.9497	2.8838	1.6872	0.9494	2.3267