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Regression model tries to minimize the following objective function: RSS + λ * [(1 - α) * ||β||2 + α * ||β||1] Where RSS is the residual sum of squares, λ is the regularization parameter, β is the coefficient vector, α is the mixing parameter between the L1 and L2 norms, ||β||2 is the L2 norm of β,