Regression models that don't include duplicated input variables can:
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A
Improve parameter estimates' stability and raise overfitting's danger.
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B
Make parameter estimations less stable and make overfitting more likely.
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C
Enhance parameter estimates' stability and cut down on overfitting danger.
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D
Destabilize parameter estimations to reduce overfitting danger.