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The calibration model was build using conductometric titrations data of 16 mixtures of three acids.
We build the PLSR model for fructose around 4000 500 cm−1, while for glucose model was build around 750 1500 cm−1.
The model was build using Microsoft Excel® based on four key assumptions (Additional file 1: Table S3) and consists of two arms (Additional file 1: Figure S1).
Furthermore, a multiple regression model was build, explaining up to 70% of the spatial variance of erosion by just using four predictors: topsoil thickness, relative elevation, soil organic carbon content and slope direction.
Another logit model was build by adding maximum MMES score to the above features.
A second nPLS-DA model was build using only those metabolites which showed relatively constant regression coefficients over time.
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GmhA model was built in Modeller 9v7.
From that concept, a full-scale model was built.
An equivalent model was built in EZStrobe.
The mathematical model was built and analyzed.
This model was built from the accident analysis data.
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