Skip to main content
. 2021 Sep 22;12:752863. doi: 10.3389/fpls.2021.752863

TABLE 1.

Parameters for PLS-DA models in parts and regions discrimination based on three levels of data sets.

Data Model LVs R2 Q2 RMSEE RMSECV RMSEP Accuracy (%)
Training set Test set
Parts PLS-DA-L 1 0.198 0.159 0.374135 0.37687 0.295164 51.52 55.56
PLS-DA-M 11 0.899 0.831 0.143237 0.167712 0.0758287 99.39 100
PLS-DA-H 11 0.918 0.887 0.120499 0.138129 0.0669199 99.39 100
Regions PLS-DA-L / / / / / / / /
PLS-DA-M 14 0.584 0.333 0.349237 0.441024 0.325103 87.92 88.46
PLS-DA-H 20 0.698 0.544 0.266242 0.351347 0.266231 95.34 92.22