o have mean 0, variance 1
before fitting explanation model.</p></td>
    </tr>
    <tr>
      <th>selection</th>
      <td><p>If TRUE, variable selection based on glmnet implementation of LASSO
will be performed.</p></td>
    </tr>
    <tr>
      <th>response_family</th>
      <td><p>family argument to glmnet (and then glm) function.
Default value is "gaussian"</p></td>
    </tr>
    <tr>
      <th>predict_type</th>
      <td><p>Argument passed to mlr::makeLearner() argument "predict.type".
Defaults to "res