The following penalized residual sums of squares differentiate Ridge Regression, LAR and LASSO from OLS:
min{e'e + λβ'β) Ridge Regression
min{e'e + λβ) Least Angle Regression
min{e'e + λ|β|) Least Absolute Shrinkage and Selection Operator
min(e'e) Ordinary Least Squares
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