Table 3.

Principal components showing percentage variation, and eigenvalues. These first 15 PCs account for 93.7% of the total shape variation. PC1, PC3 and PC14 were identified by discriminant analysis as the most discriminating between FAS and normal subjects. The intraclass correlation of reliability R is presented for the first 15 PCs.

				Discriminant analysis results
Principal component	Eigenvalue	Percentage individual variance	Partial lambda	P-value	Percentage cumulative variance	Reliability R
1	0.00249	24.3	24.3	0.776302	0.000016	0.62
2	0.00113	11.1	35.4	–		0.18
3	0.00105	10.3	45.7	0.818956	0.017016	0.29
4	0.00097	9.4	55.1	–		0.21
5	0.00066	6.4	61.5	–		0.32
6	0.00058	5.7	67.2	–		0.23
7	0.00056	5.5	72.7	–		0.18
8	0.00048	4.7	77.5	–		0.31
9	0.00037	3.6	81.1	–		0.19
10	0.00034	3.3	84.4	–		0.23
11	0.00025	2.4	86.8	–		0.22
12	0.00023	2.3	89.0	–		0.32
13	0.00018	1.8	90.8	–		0.22
14	0.00015	1.5	92.3	0.835767	0.023717	0.15
15	0.00014	1.4	93.7	–		0.22