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We have utilised the linear regression implementations in MATLAB and LibSVM (Chang and Lin 2011) implementation of the nonlinear SVM (support vector machine) regression.
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The paper studies the linear regression model.
The linear regression line is also plotted.
Figure 45 depicts the linear regression algorithm.
The linear regression slope becomes gentler.
We applied the linear regression method.
Remaining parameters were calculated using the linear regression.
# the linear regression coefficient.
JM performed the linear regression.
Standardized regression coefficients were presented in the linear regression model.
To fully utilise the linear range inherent to the use of P, overspill must be minimised.
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