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. 2016 Jul 27;17(8):1217. doi: 10.3390/ijms17081217

Table 1.

Statistical values for PCA, PLS-DA, OPLS-DA models. R2X (cum) and R2Y (cum) represent the variance of the x and y variables explained by the model, while Q2 is the cumulative predicted variation in the Y matrix.

Statistical Parameters ESI(+) Models ESI(−) Models
PCA PLS-DA OPLS-DA PCA PLS-DA OPLS-DA
R2X (cum) 0.816 0.578 0.579 0.89 0.709 0.709
R2Y (cum) - 0.942 0.942 - 0.967 0.967
Q2 (cum) 0.663 0.916 0.917 0.778 0.944 0.956

Principal components analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA).