### 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 6. Results from analysis of principal components.

1998

"... In PAGE 11: ...Table6 . We used a normal principal component analysis with a orthotran/varimax transformation.... ..."

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### Table 3 Principal component analysis results

"... In PAGE 4: ... Principal component analysis was carried out for training data set with 6AE parameter. The eigen values of principal components (PCs) and their percentage proportions of corresponding variation for training data set are listed in Table3 . The variation of AE data could be acounted for over than 96% with only first two PCs.... ..."

### Table 5. Principal Component Analysis results.

"... In PAGE 10: ... 7. The PCA output is shown in Table5 . The first principal component shows positive coefficients for all variables, and so is a trend for inverted spectrum, variable sources to have higher values of circular polarization.... ..."

### Table 6. Results of Principal Components Analysis.

2000

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### Table 2. Summary of Principal Components Analysis

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### Table 3: Principal Component Analysis (Component Matrix)

2004

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### Table 5. Principal Component Analysis PC Singular

"... In PAGE 6: ... This regularization parameter reduces the condition number from 130 to 120. Table5 lists the local ridge parameters obtained through the evolutionary algorithm optimization and their corresponding filter factors. We see that the 2nd component (Year) is properly damped out, and that the last component is partially damped.... ..."