Skip to main content
. 2012 Dec 21;7(12):e52399. doi: 10.1371/journal.pone.0052399

Table 1. Validation results and most influential compounds of pairwise PLS-DA models from the log-transformed concentration variables with respect to the three visits.

Visit Q2 and R2 values of thefirst 3 componentsa NMC at 5 componentsand permutation testb Involved compoundsc
V1 → V2 0.526, 0.663, 0.679/0.534, 0.676, 0.700 89.3 (84.0–93.8)/662 (625–695) Unknown, 0.62 ppm↑; Unknown, 0.78 ppm↑; Alanine↑; Glycine↑; Lactose↑
V2 → V3 0.791, 0.868, 0.883/0.794, 0.873, 0.891 9.0 (8.0–10.0)/607 (581–633) Unknown, 0.62 ppm↓; Unknown, 0.78 ppm↓; Alanine↓; Glycine↓; Lactose↑
V1 → V3 0.690, 0.782, 0.803/0.695, 0.788, 0.815 35.5 (32.3–39.0)/601 (578–627) Unknown, 0.62 ppm↓; Unknown, 0.78 ppm↓; Alanine↓; Glycine↓; Lactose↑
a

A high ratio between Q2 and R2 confirms the validity of the models.

b

The number of misclassifications (NMC) of the PLS-DA models relative to the random result from permutation testing serves as a performance estimate; 95% CI of the estimates in parentheses.

c

Spectral signals that could not be assigned to known metabolites are referred to as “Unknown”, along with the locations of their NMR signals. Arrows denote relative increase or decrease between visits. See also Table 2 and Fig. 2.