Part 1: Overview.- The Characteristics of a Distribution.- Standard Distributions.- Part 2: Dealing with One Variable Only.- Dealing with Two Variables.- Dealing with Several Quantitative Variables.- Working with Qualitative Variables.- Part 3:-Defining the Distance Between Two Values: Choosing a Metric.- Using the Differences.- Using the First Type of Ratio.- Using the Second Type of Ratio.- Using the Log of the Ratio.- Using the Biweight.- Conclusion.- Part 4: Using One Parameter.- Using Several Quantitative Parameters.- A Particular Case: The 'Ridge' Regression.- Part 5: Introduction.- Defining the Variables.- Part 6: Linearisable Relationships.- Non-linearisable Relationships.- Part 7: Introduction.- The Classical Approach: The Additive Residuals.- The Classical Approach: The Multiplicative Residuals.- The Modern Approach.- Part 8: The Principles.- The Case of One Variable.- The Case of Two Variables.- P Quantitative Variables.- Using Qualitative Parameters.- Part 9: Why Should We Build a Specific Model?.- How Many Variables?.- What Kind of Formula?.- Selecting the Metric.- Quantifying the Quality of the Formula