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The critical resolution, analysis time, and peak width were responses modeled by multivariate linear regression.
Therefore, we could choose some of them to construct models to predict zinc leaching efficiency by multivariate linear regression.
The quantitative relationship between the MDEV index and the lgKOA of PBDEs was modeled by multivariate linear regression (MLR) and artificial neural network (ANN) respectively.
An abstract image of the source contributions to the samples can be obtained by multivariate linear regression: Z = PC S * V T (2).
Using the obtained molecular descriptors as variables, the correlation models of the predictable rate constants were developed by Multivariate linear regression (MLR) method.
Analysis of correlation matrixes identified the 2-step firing parameters with greatest impact on the porosity and phase composition, and these trends were confirmed by multivariate linear regression.
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In a model tree, in each leaf node, the log Vss value predicted for a new compound reaching that node is given by a multivariate linear regression model built from the training set compounds that belong to that node [29].
Correlation analysis was followed by hierarchical multivariate linear regression.
The EQ-5D utility scores were modeled by a multivariate linear regression model adjusting for demographic and clinical characteristics and for disease states.
The influence of gender and career aspiration was investigated by a two-factorial analysis of variance, the relationships between personality factors, personal situation, career related factors and the Career-Success Scale by a multivariate linear regression analysis.
The effects of RF and anti-CCP antibodies were investigated further by performing multivariate linear regression combining both antibodies, together with previously known predictors (baseline HAQ, concurrent DMARD therapy and gender).
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