Table 2.
Cross-validation parameters obtained for each pairwise PLS-DA model
| Time | PLS-DA model | R2X | R2Y | Q2 | Permutation tests | |
|---|---|---|---|---|---|---|
| R2 | Q2 | |||||
| 24 h | DMF 0.1 μM vs. Vehicle Control | 0.353 | 0.990 | 0.710 | 0.990 | 0.433 |
| 24 h | DMF 10 μM vs. Vehicle Control | 0.351 | 0.989 | 0.586 | 0.988 | 0.470 |
| 96 h | DMF 0.1 μM vs. Vehicle Control | 0.283 | 0.992 | 0.339 | 0.993 | 0.423 |
| 96 h | DMF 10 μM vs. Vehicle Control | 0.324 | 0.997 | 0.576 | 0.993 | 0.389 |
R2X—variance explained by the X matrix, i.e., GC–MS data; R2Y—variance explained by the Y matrix, i.e., sample class; Q2—predictive power; R2 and Q2 (permutation tests)—goodness of fit of the permuted model