Sentence examples for models using partial from inspiring English sources

Quantitative calibration models using partial least squares (PLS) regression were developed and compared.

The solubility in each mixture region was analysed by fitting quadratic models using partial least squares analysis.

We construct models using partial least squares, weighted average, and maximum likelihood Gaussian logit regression for two British semi-natural habitats, and test how well they predict N deposition by cross-validation.

Quantitative calibration models using partial least squares (PLS) regression were developed with the ability to predict DE as well as the specific enzyme treatment, expressed as amount of ester groups removed with random and block enzyme, respectively.

Iterations of spectral processing allowed the assembly of robust predictive models using partial least squares (PLS).

Enzyme activity levels were modeled using partial least-squares regression (PLS).

The data was modeled using partial least-squares (PLS) regression and resulted in a robust model with a root mean-square error of prediction of 2.5%.

We test the theoretical model using partial least squares (PLS) on survey data collected from the Australian mining and resources sector.

Data from 317 firms located in ten countries across three industries are analyzed to test the research model using partial least squares.

The proposed modules and an ordinary single hollow fiber membrane contactor were modeled using partial differential equations based on a single component absorption scheme.

For the construction of the multivariate calibration model using partial least squares (PLS), initially all standard spectra were evaluated by principal component analysis (PCA) with the purpose of observing their distribution and the existence of clusters and outliers.