Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

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Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review (2019, methodology): “The PLSR was used for model calibration and the Ratio of Performance to Interquartile Range (RPIQ) was selected to evaluate the results considering that the commonly used Residual Prediction Deviation (RPD) may not be sufficient for attributes that show skewed distribution [73].”
Estimation of soil properties at the field scale from satellite data: a comparison between spatial and non‐spatial techniques (2014, methodology): “The performance of each method was assessed in terms of RMSE (Equation (3)) and ratio of performance to interquartile range (RPIQ, Equation (4)) (Bellon-Maurel et al., 2010), determined by leave-one-out cross-validation.”
Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis–NIR spectral library (2015, methodology): “Because the soil properties of a large SSL often have a strongly skewed distribution with numerous small values, the RPIQ is preferred to the ratio of performance to deviation (RPD), which has been used widely for assessing the vis–NIR calibration model (Bellon-Maurel et al., 2010).”