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Linear combination test [ 17] has been extended from binary to continuous phenotype (LCT) by utilizing linear regression function [ 24].
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Models predicting PDs utilized linear regression; adjusted models control for alcohol dependence and family history of depression.
To utilize linear regressions for nonlinear models, nonlinear maps that transform data into a multi-dimensional feature space are engaged.
By utilizing multiple linear regression, a model was also developed to estimate the direct CAPEX (EPC cost) of RO desalination plants to be located either in the GCC countries or southern Europe, which was then verified using the k-fold test.
Therefore, we utilized the linear regression function for UDP-Glc.
These correlations were obtained by multiple linear regression.
The results were analyzed by multiple linear regression.
The correlation was obtained by multiple linear regression.
The final model is estimated by traditional linear regression techniques.
Passive respiratory mechanics were measured by multiple linear regression.
Multivariate linear relationships were assessed by generalized linear regression models.
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