This table presents the scoring coefficients, also known as loadings, obtained from the PCA. These loadings signify the correlation between the original variables (RC_STD to BI_STD) and the derived principal components (COMP1 to COMP6). High absolute values of loadings (closer to −1 or 1) indicate that the respective variable contributes significantly to the corresponding component. For instance, RC_STD has a high loading of 0.5723 on COMP1, suggesting a significant positive relationship between these. Negative loadings indicate an inverse relationship. The sum of squares of column loadings equals 1, indicating that the components fully account for the variance in the data. Scoring coefficients; sum of squares (column loading) = 1