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Many multivariate regression techniques are designed for univariate response cases.
Statistical analysis was by regression and multivariate regression techniques.
Instead, we need to use multivariate regression techniques to control for the individual characteristics.
I apply multivariate regression techniques to account for observable differences between domestic and internationalized firms.
In the following empirical analysis, descriptive as well as multivariate regression techniques will be applied.
Examining this full dataset using multivariate regression techniques would be a key area for further research.
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Gulston and co-workers [ 49] used the multivariate regression technique prediction to latent structures by partial least squares (PLS) to regress proteomic changes by DIGE in order to investigate age-related changes in heart tissue of the mdx mouse.
Regional equations were developed using the multivariate regression technique.
The multivariate regression technique is an indispensable method for deriving reliable kinetic models.
This semianalytical modeling approach is a generalized nonlinear multivariate regression technique that is rooted in signal processing.
In this work, separate global kinetic models have been developed for the thermal decomposition of high bulk density HNS in the solid, respectively, the liquid-phase by applying the non-linear multivariate regression technique.
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multivariate analysis techniques
multivariate modelling techniques
multivariate regression analyses
multivariate imputation techniques
multivariate regression models
multivariate classification techniques
multivariate clustering techniques
multivariate calibration techniques
multivariate regression methods
multivariate regression results
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