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Table 4 Prediction of total lipid content in yeast biomass by FTIR spectroscopy, using partial least square regression (PLSR) analysis

From: Biochemical profiling, prediction of total lipid content and fatty acid profile in oleaginous yeasts by FTIR spectroscopy

Spectral region (cm−1) \({{\text{RMSE}}_{{{\text{CV}}}}} ^{{\text{a}}}\)
(N = 149)
RMSETest (N = 56) \({R^{2} {_{{{\text{CV}}}}}} ^{{\text{b}}}\)
(N = 149)
R 2 Test
(N = 56)
NFactorsc
3100–2800. 1800–700 4.12 19.00 0.92 0.67 10
  1. N is the number of samples in the dataset
  2. aRMSE—root mean squared error of cross-validation in calibration (RMSECV) and test set (RMSETest)
  3. aR2—coefficient of determination for cross-validation in calibration (R2CV) and test set (R2Test)
  4. cNFactors—number of factors used in PLSR models