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. 2024 Feb 18;98(4):1151–1161. doi: 10.1007/s00204-024-03683-9

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