This is a truncated version of the README. A full version will be included once the manuscript is accepted.

To run LCEN, install the SPA Python package using the [setup.py](setup.py) file. LCEN is called via the "LCEN" model\_name within SPA. For example:

`import SPA; _ = SPA.main_SPA('Kepler_3rd_law.csv', cv_method = 'KFold', model_name = ['LCEN'])` # For the "Kepler's 3rd Law" dataset<br>
`import SPA; _ = SPA.main_SPA('abalone_train.csv', test_data = 'abalone_test.csv', cv_method = 'KFold', model_name = ['LCEN'])` # For the "Abalone" dataset<br>
`import SPA; _ = SPA.main_SPA('Concrete_data_train.csv', test_data = 'Concrete_data_test.csv', cv_method = 'KFold', model_name = ['LCEN'], LCEN_cutoff = 8e-2)` # For the "Concrete Compressive Strength" dataset

The most relevant keyword arguments are "degree", "lag", and "LCEN_cutoff", as described in the Methods section of the paper.
