Table 3: Results of the Principal Component Analysis. The first three principal components out of a total of 8 are given in order of their contribution to the total variance. The first row gives the variances of the data along the direction of the corresponding principal component. The sum of all the variances is equal to 8, the number of variables considered in the analysis. The variance of each principal component is given as "proportion'' in the second row and as "the cumulative proportion'' in the third one. The rest of the table gives the correlation coefficients between the original variables and the principal components. Significant correlations are boldfaced, i.e. those ones with coefficients whose absolute values are > $1/ \sqrt 8$ = 0.3536.
  PC1 PC2 PC3
Eigenvalue 2.63 1.92 1.27
Proportion 32.9 24.1 15.9
Cumulative 32.9 57.0 72.9
Variable PC1 PC2 PC3
p0 -0.1771 0.4795 - 0.4297
BI - 0.5065 0.2048 -0.1247
DI -0.2440 - 0.5507 -0.1789
$\alpha_{\rm B}$ - 0.3867 0.0654 0.1423
C IV  ${\scriptscriptstyle \rm HREW}$ -0.0014 0.5660 -0.1301
C IV  ${\scriptscriptstyle \rm HWHM}$ -0.1509 0.2636 0.7218
Fe II  2400 - 0.4865 -0.1403 -0.3062
$v_{\rm max}$ - 0.4935 -0.1053 0.3406


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