### TABLE 6 PRINCIPAL COMPONENTS

### Table 1. Principal component analysis

"... In PAGE 9: ... 60% of the total variability of the data (Fig. 6, Table1 ). The first principal component accounts for c.... ..."

### Table 3: Principal Component Matrix

2005

Cited by 3

### Table 5 Principal component loadings

2006

"... In PAGE 7: ... The PCA was carried out by diagonalization of the correlation matrix, so the prob- lem of different numerical ranges of the original variables was avoided, since all variables were scaled to variance unit and contributed equally. Table5 summarized the PCA results including the loadings and the eigenvalues of each PC. There were several criteria to identify the number of PCs to be re- tained in order to understand the underlying data structure (Jackson, 1991).... ..."

### Table 9: Principal components for component C

"... In PAGE 8: ... The extracted code base for Component C for Windows XP-SP1 was 1820 KLOC (consisting of 3265 files). Based on PCA three principal components out of the six generated that account for greater than 95% of the variance as shown in Table9 are used for building the statistical multiple and logistic regression models. Table 9: Principal components for component C ... ..."

Cited by 1

### Table 1: Results of principal component analysis applied to the correlation matrix of the vegetation-soil characteristics in the study area. For abbreviations and units, see Appendix Axis Eigenvalue % of Variance Cum. % of Var. Broken-stick Eigenvalue

"... In PAGE 2: ... Results PCA: In order to find the most effective factors on the separation of vegetation types, PCA was used. As it is shown in Table1 , PC1 and PC2 are accounted for 70.95% of vegetation variations that is caused by soil characteristics.... ..."

### Table 7: Principal components for component A

Cited by 1