AdaBoost Regression to Select Predictors

Is it possible to use the LSBooost alogorithm to select a subset of appropriate predictor variables in a similar way to the step-wise regression function. I cannot find any examples of using it to select variables (and ideally showing final coefficients?)? Thanks

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The fitrensemble function uses the LSBoost algorithm. Then you can use the removeLearners function to remove members of the ensemble, as described in this example:
Also, the Regression Learner and Classification Learner apps allow you to use Principle Component Analysis to train on only the most significant predictor variables.

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