Table 2.

Eigenvalues and the percent of variance explained by each principal component from three principal component analyses. PCA I includes measurements from the distalmost scansor, PCA II from an intermediate scansor, and PCA III from the proximalmost scansor. See text for a complete list of measurements included in each test. Eigenvalues of informative components (as determined by the Kaiser criterion; Karlis et al. 2003) are marked with an asterisk

	PCA I		PCA II		PCA III
Component	Eigenvalue	% variance	Eigenvalue	% variance	Eigenvalue	% variance
1	4.233*	28.219	4.936*	32.908	4.73*	31.532
2	2.987*	19.916	3.163*	21.088	2.838*	18.922
3	2.122*	14.145	1.508*	10.052	2.407*	16.044
4	3.144*	8.958	1.346*	8.971	1.647*	10.977
5	1.138*	7.584	1.057*	7.047	0.856	5.708
6	1.018*	6.789	0.971	6.477	0.806	5.375