Page 30 - Jolliffe I. Principal Component Analysis

List of Tables
10.2 Artistic qualities of painters: comparisons between esti-
mated (empirical) and actual (sample) influence of indi-
vidual observations for the first two PCs, based on the xxix
covariance matrix. ...................... 255
10.3 Artistic qualities of painters: comparisons between esti-
mated (empirical) and actual (sample) influence of indi-
vidual observations for the first two PCs, based on the
correlation matrix. ...................... 256
11.1 Unrotated and rotated loadings for components 3 and 4:
artistic qualities data. .................... 277
11.2 Hausmann’s 6-variable example: the first two PCs and
constrained components. .................. 285
11.3 Jeffers’ pitprop data - coefficients and variance for the
first component. ....................... 287
11.4 Jeffers’ pitprop data - coefficients and cumulative variance
for the fourth component. .................. 287

13.1 First two PCs: 100 km compositional data. . ....... 350
13.2 First two PCs: Aitchison’s (1983) technique for 100 km
compositional data. ..................... 350