Table 1.

Statistics of the Logistic Regression (LR) model.

Model Predictors	SE	t Statistics	p-Value
PC1	1.1638	7.8235	5.14 × 10−15
PC2	0.0008	14.7641	0
PC3	0.0013	−11.1861	4.77 × 10−29
PC4	0.0014	−13.4629	2.59 × 10−41
PC5	0.0019	−12.9322	2.96 × 10−38
PC6	0.0015	−2.1592	0.030837
PC7	0.0022	13.8375	1.51 × 10−43
PC8	0.0019	−0.0055	0.995623
PC9	0.0023	−9.0287	1.74 × 10−19
PC10	0.0026	1.2018	0.22944
PC11	0.0026	−2.1862	0.028801
PC12	0.0027	1.6188	0.1055
PC13	0.0032	−7.2077	5.69 × 10−13
PC14	0.0033	−8.3964	4.61 × 10−17
PC15	0.0034	−0.7858	0.431973
PC16	0.0035	1.8389	0.065923
PC17	0.0037	0.0854	0.931964
PC18	0.0036	5.9441	2.78 × 10−9
PC19	0.0035	1.8050	0.07108
PC20	0.0036	−6.9300	4.21 × 10−12
PC21	0.0040	4.9057	9.31 × 10−7
PC22	0.0040	−4.4528	8.47 × 10−6
PC23	0.0043	11.6463	2.40 × 10−31
PC24	0.0045	−4.8968	9.74 × 10−7
PC25	0.0048	−9.4881	2.35 × 10−21
PC26	0.0047	0.7119	0.476501
PC27	0.0047	−0.6445	0.519277
PC28	0.0050	−2.6172	0.008865
PC29	0.0053	0.9396	0.347413
PC30	0.0054	−6.5354	6.34 × 10−11
PC31	0.0050	−1.4328	0.151915
PC32	0.0054	−0.5211	0.602287
PC33	0.0052	2.2693	0.023249
PC34	0.0057	−0.6697	0.503072
PC35	0.0058	−0.1642	0.869595
PC36	0.0056	6.0392	1.55 × 10−9
PC37	0.0059	−1.5046	0.132437
PC38	0.0061	−2.5012	0.012377
PC39	0.0060	0.5841	0.559178
PC40	0.0062	2.9399	0.003284
PC41	0.0065	3.0751	0.002104
PC42	0.0065	−6.5521	5.67 × 10−11
PC43	0.0065	−3.3909	0.000697
PC44	0.0068	−0.2496	0.802873
PC45	0.0063	3.0721	0.002125
PC46	0.0065	−1.5325	0.125403
PC47	0.0064	−1.5169	0.1293
PC48	0.0067	−2.3565	0.01845
PC49	0.0069	1.7933	0.072918
PC50	0.0071	−3.3454	0.000822