The quadratic model involving dosage, contact time and temperature is best fitted to predict the efficiency of coconut copra in removing humic substances from peat swamp runoff.
After all experiments (music samples) are evaluated, a linear regression model is fitted to predict the target variables w.r.t. the factor levels.
Analyses of associations were performed and to identify which of the variables predict onset MOH, a multivariable least absolute shrinkage and selection operator (LASSO) logistic regression model was fitted to predict presence or absence of MOH.
For each tree, separate quadratic regression models were fitted to predict disc diameter as a function of height up the stem, and total tree height was then predicted by extrapolating these models to a diameter of zero.
Regression models were then fitted to predict outerwood density as a function of stand age and mean annual temperature (MAT) which proved to be the best overall climate variable.
The lap-shear strength was found linearly correlated with the undercut for a fixed top sheet thickness and an equation was fitted to predict the lap-shear strength in terms of undercut and top sheet thickness.
Models based on random forests (RF), boosted regression trees (BRT), neural networks (NN), support vector machines (SVM) and multivariate adaptive regression splines (MARS) are fitted to predict 14 target variables.
It was found that, under (L H) level loading sequence, Miner's linear damage rule and the propagation law of the main crack are completely fitted to predict the residual lifetime.
The following regression model was therefore fitted to predict average disc density at the k th height in tree j in stand i, Ddisc ijk (kg m−3), as a function of relative height (Hrel ijk ): {Ddisc}_{ijk}=a+btimes {Hrel}_{ijk}+ctimes {Hrel}_{ijk}^2+dtimes {Hrel}_{ijk}^3+{L}_{mathrm{i}}+{T}_{ij}+{e}_{ijk} (5).
3D-QSAR analysis has been performed on a series of previously synthesized benzoxazole, benzimidazole, and oxazolo(4,5-b pyridine derivatives, which are screened as eukaryotic topoisomerase II inhibitors, using comparative molecular field analysis (CoMFA) with partial least squares fit to predict the steric and electrostatic molecular field interactions for the activity.
