| Introduction and Basics |
 | What is it all about ? |
| Learn and test data file format |
| The PNC 2 Cluster Algorithm |
| The basic idea |
| Representation and distance measure |
| How regression problems are handled |
| One page tutorial |
| Main |
| The four basic tab sheets |
| The tab sheet Basic |
| The tab sheet Tuning Results |
| The tab sheet Model |
| The tab sheet Use Model |
| Load and prepare learn data |
| Check or edit the variable types |
| Automated parameter tuning |
| How to estimate the prediction accuracy |
| General settings |
| Define parameter sets |
| Start the tuning process |
| How to select an optimal parameter set |
| Learn a model |
| Parameters of the PNC2 algorithm |
| Model characteristics |
| Use learned model to predict new test data |
| Save and load the project and/or model |
| Options |
| The tool bar |
| Misc |
| Licence and Disclaimer |
| Acknowledgement |