Estyp

* The `linear_model.LogisticRegression()` class now can be used like the `sklearn.linear_model.LogisticRegression()` class when is fitted.

* Added options to accept pipelines and parallel processing in `cluster.NClusterSearch()` class.
* Added `joblib >= 1.3.1` as a depedency of the library.
* Minor fixes in README.md file.

* Added `linear_model.Stepwise()` class to perform variable selection for linear models compatible with statsmodels. Contains several improvements and bug fixes over the `linear_model.stepwise` module functions.
* Deprecated `forward_selection()` and `both_selection()` functions from `linear_model.stepwise` models. Added corresponding warnings.
* Modified Getting Started section in Documentation to include the new feature.
* Modified README.md file to include the new feature.

* Added `testing.dw_test()` to perform Durbin-Watson test with an aproximatted p-value.
* Updated the `testing.CheckModel` class to use the `testing.dw_test()` function.
* Fixed some displaying problems in the documentation.
* Now some functions of the `testing` module forces to use named parameters instead of positional ones.
* Replaced ":" for "=" in the `TestResults` class display.

* Added a new library import message that derives to documentation.
* Changed `LogisticRegresion.deviance_residuals()` method to a property.
* Fixed AIC calculation in `LogisticRegression` class.
* Added deviance and deviance_residuals properties from `LogisticRegression` class to documentation.
* Added Dockerfile to create a docker image to build the package.
* Added tests to check if functionalities works properly. The tests are in the `test` folder and runs with GitHub Actions in every push.
* Changed pyproject.toml to a setup.py file.

* I'm glad to announce that this library have it own documentation in [Read the Docs](https://estyp.readthedocs.io/en/latest/).
* All functions and classes docstrings have a link that redirects to it web documentation.