Table 1.

Misclassification rates of leave-one-out and bootstrap cross-validation for determining the number of latent components for discriminating between jck and wild-type mice

	26 Days			45 Days			64 Days
No. of Latent Components	Leave One Out	Bootstrap	%Variation Explained	Leave One Out	Bootstrap	%Variation Explained	Leave One Out	Bootstrap	%Variation Explained
1	1	0.66	90.9	1	0.64	84.9	7	2.62	38.7
2	1	0.54	96.5	0	0.54	93.2	11	3.52	50.4
3	1	0.56	98.4	0	0.64	94.4	11	3.78	53.3
4	1	0.60	99.3	4	1.08	94.8	11	3.82	54.0
5	1	0.58	99.5	5	1.30	94.9	11	3.84	54.2
6	1	0.60	99.5	7	1.50	95.0	11	3.90	54.2
7	1	0.62	99.5	7	1.52	95.0	11	3.90	54.3
8	−	−	−	9	1.50	95.0	13	3.92	54.3

A total of 19 mice were used at 26 and 45 days; 18 mice were used at 64 days. Partial least squares (PLS) was used to identify latent components for 143 body weight-adjusted metabolite intensity measurements. Leave-one-out cross-validation values (Leave One Out) are the number of mice whose genotype was misclassified by linear discriminant analysis (LDA) using k latent components for metabolite intensity measurements at 26, 45, and 64 days. Bootstrap cross-validation values (Bootstrap) are the mean number of mice misclassified using k latent components of metabolite intensity measurements at 26, 45, and 64 days. Percent (%) variation explained is the percentage of total variation in the data that explains the portion of between-genotype variation by the latent components. Collinear variables prevented fitting (−) 8 latent components at 26 days.