1. Setting "working directory", where the program will operate (or path to all particular files)
2. Loading data - program loads data from user defined path
3. Parameters setting - dimensionality, sampling rate (EEG measurment), parameters for output plots setting anomaly threshold
4. Choosing subset of data - size of time window where the algorithm will be trained 
5. Lambda parameter testing  
6. L parameter testing (model oreder / time lag)
7. Computing beta coefficients of training and testing data
8. Computing anomaly threshold
9. Testing anomaly occurencies in specific time window
10. Saving results 