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. 2019 Apr 23;9:6396. doi: 10.1038/s41598-019-42837-z

Table 2.

Comparison of accuracies (mean ± SD) achieved for full spectrum PLSR versus best model from variable selection using CARS-PLS resulting from 100 repetitions for the calibration and validation.

Models (S = 100) WL-Selection Full spectrum PLSR CARS-PLSR
Calibration Variables 662 16
nLV 7.37 ± 1.28 6.99 ± 0.58
RMSE [%] 3.58 ± 0.54 2.75 ± 0.30
Validation RPD 1.96 ± 0.35 2.67 ± 0.46
RP2 0.74 ± 0.08 0.86 ± 0.05
RMSEP [%] 3.83 ± 0.57 2.82 ± 0.40
SEP [%] 3.79 ± 0.56 2.78 ± 0.40
BIAS −0.22 ± 0.86 −0.19 ± 0.65

Abbreviations are as given in Table 1. In addition we use root mean square error of calibration (RMSE).