Modeling GPDA and Its Application in Deep Mineral Prediction in the Jiguanzui Cu-Au Mining Area in Hubei, China

Table 4

Eigenvalues and eigenvectors of the correlation matrix.

	Ba	Pb	As	Cu	Au	Mo	Co	Zn
Unitized orthogonal eigenvector	0.654	0.1347	−0.052	0.0345	0.3037	0.4407	−0.307	−0.4119
	−0.174	−0.4399	−0.1432	−0.5058	0.2576	0.552	−0.0285	0.3579
	0.0823	−0.3308	0.2315	−0.0349	−0.8155	0.3246	−0.032	−0.2397
	0.1012	−0.1928	−0.6702	0.1654	−0.2357	−0.2091	−0.5713	0.2244
	−0.013	0.3633	0.3801	−0.5758	−0.1114	−0.2026	−0.5679	0.1257
	−0.145	−0.1469	0.5015	0.6042	0.1586	0.2055	−0.3964	0.3408
	0.7095	−0.2109	0.1979	−0.066	−0.0489	−0.2554	0.2638	0.521
	0.0231	0.6661	−0.197	0.1158	−0.2843	0.4511	0.1679	0.4371
Eigenvalues	0.4188	0.4936	0.5273	0.7955	1.0144	1.1338	1.56	2.0565
Contribution rate	0.0524	0.0617	0.0659	0.0994	0.1268	0.1417	0.195	0.2571