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. 2017 Aug 27;2017:6018769. doi: 10.1155/2017/6018769

Table 3.

Results of PLS-DA models using different selected wavelengths.

Methods Variables  Calibration Prediction
Correct number Identification accuracy/% Correct number Identification accuracy/% E
Raw 512 449 99.8 214 95.1
SPA 5 417 92.7 210 93.3 −1.78
RC 7 413 91.8 211 93.8 −1.28
LW 8 402 89.3 199 88.4 −6.60
UVE 291 449 99.8 219 97.3 0.95
UVE-SPA 12 449 99.8 216 96.0 0.88
CARS 105 449 99.8 221 98.2 2.46
iPLS 32 430 95.6 199 88.4 −6.28
BiPLS 208 450 100 223 99.1 2.38
FiPLS 480 449 99.8 219 97.3 0.14
GA-PLS 85 446 99.1 217 96.4 1.08