The eluent flowrate is shown to be the most suitable manipulated variable.
It was found that combination of seven parameters (pH, SO4, HCO3, TDS, EC, Mg, and Ca) is the most suitable input variable.
In addition, we determined the most suitable independent variables cutoff levels to predict tumor invasiveness.
The most suitable concentration of variables for spilanthol production were, 1½ MS, 5% sucrose, 4.82 µM BAP and 1.8 µM 2,4-D.
The most suitable combination of variables was 40 °C, 2.12%, 10 h and 1.13 for the reaction temperature, the enzyme amount, the reaction time, and EGCG/vinyl acetate mole ratio, respectively.
Since the method is so dependent on the total variance of the original variables, it is most suitable when all the variables are measured in the same units.
The most suitable detectable electrical output variable (potantial or current density) depends on the operating condition under which the experiment is performed.
However, we calculate the segmental SNR using a few suitable threshold values for each analysis method because it is predicted that the most suitable values of the variable used in noise compression differ depending of the analysis method.
In order to further speed up the algorithm, designs were evaluated based on performance data from earlier analyses, while searching for the most suitable changes in design variables.
In order to find the subset of variables most suitable for predicting total nursing workload, we used a serial selection process, which includes multiple imputation of missing data.
