Table 5 The eigenvector matrix of five principal components

From: Color rendering evaluation model for lighting of traditional Chinese freehand brushwork paintings in museums

\(p\)	\({a}_{{np}}\)					\(p\)	\({a}_{{np}}\)
\(p\)	\({a}_{1p}\)	\({a}_{2p}\)	\({a}_{3p}\)	\({a}_{4p}\)	\({a}_{5p}\)	\(p\)	\({a}_{1p}\)	\({a}_{2p}\)	\({a}_{3p}\)	\({a}_{4p}\)	\({a}_{5p}\)
1	−0.0001	−0.0001	0.0019	−0.0001	0.0026	41	−0.0009	−0.0023	−0.0109	−0.0105	−0.0738
2	0.0009	−0.0006	0.0177	0.0003	0.0026	42	0.0262	−0.0048	0.0043	0.0104	−0.1736
3	0.0048	−0.0021	0.0669	0.0024	0.0080	43	0.0591	−0.0071	0.0238	0.0379	−0.2851
4	0.0127	−0.0052	0.1817	0.0048	0.0190	44	0.0706	−0.0087	0.0305	0.0480	−0.3135
5	0.0282	−0.0123	0.3877	0.0090	0.0436	45	0.0447	−0.0114	0.0150	0.0261	−0.2099
6	0.0426	−0.0206	0.5876	0.0086	0.0712	46	0.0083	−0.0160	−0.0084	−0.0055	−0.0727
7	0.0393	−0.0253	0.5412	−0.0015	0.0691	47	−0.0135	−0.0225	−0.0227	−0.0250	0.0213
8	0.0229	−0.0302	0.3144	−0.0242	0.0457	48	−0.0217	−0.0328	−0.0315	−0.0321	0.0913
9	0.0099	−0.0374	0.1435	−0.0472	0.0278	49	−0.0239	−0.0508	−0.0382	−0.0350	0.1801
10	0.0016	−0.0339	0.0532	−0.0503	0.0124	50	−0.0233	−0.0788	−0.0488	−0.0377	0.3083
11	−0.0038	−0.0229	0.0123	−0.0402	−0.0032	51	−0.0214	−0.1034	−0.0580	−0.0292	0.4426
12	−0.0084	−0.0157	−0.0083	−0.0368	−0.0168	52	−0.0177	−0.0860	−0.0536	0.0110	0.4581
13	−0.0126	−0.0117	−0.0265	−0.0393	−0.0300	53	−0.0148	−0.0132	−0.0350	0.0965	0.3113
14	−0.0148	−0.0075	−0.0390	−0.0408	−0.0372	54	−0.0111	0.0823	−0.0178	0.2161	0.1508
15	−0.0129	−0.0031	−0.0371	−0.0342	−0.0346	55	−0.0051	0.1856	−0.0026	0.3738	0.0647
16	−0.0088	0.0012	−0.0212	−0.0235	−0.0280	56	0.0051	0.2974	0.0103	0.5103	0.0317
17	−0.0055	0.0047	−0.0039	−0.0156	−0.0255	57	0.0209	0.3845	0.0130	0.3972	0.0369
18	−0.0040	0.0097	0.0114	−0.0125	−0.0294	58	0.0449	0.4408	0.0108	0.0122	0.0504
19	−0.0030	0.0178	0.0294	−0.0107	−0.0412	59	0.0718	0.4805	0.0108	−0.3278	0.0582
20	−0.0021	0.0264	0.0492	−0.0104	−0.0549	60	0.0894	0.4143	0.0027	−0.3989	0.0627
21	−0.0017	0.0302	0.0586	−0.0101	−0.0615	61	0.1090	0.2379	−0.0102	−0.2589	0.0516
22	−0.0008	0.0249	0.0530	−0.0083	−0.0506	62	0.1528	0.0870	−0.0169	−0.1099	0.0315
23	−0.0002	0.0141	0.0396	−0.0095	−0.0275	63	0.2331	0.0028	−0.0222	−0.0245	0.0188
24	0.0005	0.0039	0.0293	−0.0143	−0.0019	64	0.3516	−0.0449	−0.0301	0.0219	0.0152
25	0.0020	−0.0053	0.0248	−0.0199	0.0262	65	0.4910	−0.0782	−0.0375	0.0536	0.0174
26	0.0046	−0.0129	0.0247	−0.0227	0.0476	66	0.5394	−0.0896	−0.0451	0.0627	0.0315
27	0.0089	−0.0161	0.0298	−0.0190	0.0523	67	0.4052	−0.0711	−0.0438	0.0401	0.0432
28	0.0135	−0.0136	0.0377	−0.0064	0.0338	68	0.2060	−0.0382	−0.0300	0.0172	0.0316
29	0.0171	−0.0077	0.0420	0.0085	0.0069	69	0.0823	−0.0171	−0.0152	0.0054	0.0164
30	0.0162	−0.0016	0.0407	0.0163	−0.0071	70	0.0311	−0.0080	−0.0071	−0.0029	0.0050
31	0.0096	0.0021	0.0311	0.0143	−0.0039	71	0.0109	−0.0042	−0.0055	−0.0013	0.0013
32	−0.0001	0.0039	0.0170	0.0052	0.0086	72	0.0030	−0.0026	−0.0034	−0.0013	0.0014
33	−0.0091	0.0046	0.0047	−0.0045	0.0224	73	0.0011	−0.0017	−0.0010	−0.0023	−0.0003
34	−0.0164	0.0051	−0.0059	−0.0130	0.0319	74	0.0000	−0.0014	−0.0017	−0.0009	−0.0029
35	−0.0215	0.0047	−0.0138	−0.0196	0.0391	75	−0.0011	−0.0001	−0.0003	0.0012	−0.0016
36	−0.0253	0.0045	−0.0196	−0.0245	0.0435	76	−0.0005	−0.0007	−0.0001	−0.0023	−0.0005
37	−0.0280	0.0038	−0.0235	−0.0284	0.0436	77	−0.0004	−0.0006	0.0004	−0.0007	−0.0006
38	−0.0276	0.0024	−0.0249	−0.0292	0.0355	78	−0.0007	−0.0002	0.0005	0.0000	−0.0004
39	−0.0240	0.0011	−0.0243	−0.0281	0.0170	79	0.0004	0.0002	−0.0005	−0.0010	−0.0023
40	−0.0161	0.0000	−0.0208	−0.0216	−0.0151	80	0.0004	−0.0001	−0.0009	−0.0004	−0.0010
						81	−0.0001	0.0000	0.0003	−0.0002	−0.0014

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Table 5 The eigenvector matrix of five principal components

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