1. If there are variables that need to be used to control the bias
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selection in the model, they should forced to be in the model and not being part of the variable selection process.
2. Penalization in linear regression models means penalizing for complex models, that is, models with a large number of predictors.
3. Elastic net regression uses both penalties
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