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Headache parameters were used for regression analyses.
While for regression analyses we used it as linear variable.
For regression analyses we used it as linear variables.
Therefore, different periods are separated for regression in this paper.
Statistical significance was set at 0.05 for regression analysis.
While for regression analyses we used age as linear variable.
For regression problems, we use the Pearson correlation coefficient [67].
Mean curves were used as initial condition for regression.
Central cubic design was used for regression analysis.
It highly depends on selecting appropriate data mining methods for regression analysis.
Several techniques for measuring diversity have been proposed for regression and classification [29, 30].
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