… Regression models are fundamental tools in machine … In our scenario of predicting diesel
purity, regression models play … of regression techniques, including linear regression equations, …

… Besides, Partial Least Squares Regression (PLSR) was exploited to determine the percentage
of adulteration. The best model was obtained with a regression coefficient of 0.96, Root …

… (PLS) regression, support vector machine regression (SVR), … In Brazil, gasoline adulteration
is currently well controlled in … is no specific methodology for detecting adulterants in diesel, …

… , such as heavy crude oils, gasoline, diesel fuel, jet fuel and … than using other multilinear
regressions methods such as MLR. … be used for motor oil adulteration detection. Coupling both, …

… regression (SVR) and partial least squares (PLS), respectively. About the NIR spectra of
naphtha, gasoline, … For the blends of gasoline and naphtha, the limit of detection (LOD), limit of …

… the noise level in the data set; and b k to regression coefficient for the kth variable based on
a … adulterated gasoline samples with lead using FTIR. Additionally, Zhang et al. [38] detected …

… adulteration in gasoline. The content of kerosene in … The simulator used a partial least
squares (PLS) regression … on the detection of automobile gasoline adulteration technology in …

… from gasoline blending process in which several gasoline … blended, in which case the
gasoline properties Y span a relatively wide … To take gasoline blending process as an example, a …

… out to assess the adulteration of automotive gasoline in Nairobi, … The results obtained by
FTIR showed that the adulteration … Detection and identification of gasoline adulteration is not an …

… with multivariate classification models to detect adulteration with methanol in hydrated ethyl
… multivariate methods, such as principal component regression (PCR) or partial least square …