Table 4. Principal component analysis... | Emerald Publishing

Table 4.

Principal component analysis output

Principal component analysis output
Eigenvalues: (N = 588; Trace = 5; no. of components = 2)					Eigenvectors (loadings)
Component	Eigenvalue	Difference	Proportion	Cumulative	Variable	Comp1	Comp2
Comp1	2.21326	1.08081	0.4427	0.4427	HPR	0.6324	0.0344
Comp2	1.13245	0.16783	0.2265	0.6691	ECP	0.4393	−0.4021
Comp3	0.964621	0.375852	0.1929	0.8621	GDPC	0.048	−0.4543
Comp4	0.588769	0.487866	0.1178	0.9798	POVS	0.6282	0.1565
Comp5	0.100903		0.0202	1	GINI	0.1006	0.7786

Principal component analysis output
Eigenvalues: (N = 588; Trace = 5; no. of components = 2)					Eigenvectors (loadings)
Component	Eigenvalue	Difference	Proportion	Cumulative	Variable	Comp1	Comp2
Comp1	2.21326	1.08081	0.4427	0.4427	HPR	0.6324	0.0344
Comp2	1.13245	0.16783	0.2265	0.6691	ECP	0.4393	−0.4021
Comp3	0.964621	0.375852	0.1929	0.8621	GDPC	0.048	−0.4543
Comp4	0.588769	0.487866	0.1178	0.9798	POVS	0.6282	0.1565
Comp5	0.100903		0.0202	1	GINI	0.1006	0.7786

Source: Authors