DoE and regression analysis input and output

This dataset contains the input and output data from an industrial case study aiming to detect undesired non-intuitive behavior in an engineered complex system (an Autonomous Surface Vessel (ASV) on a Search and Rescue (SAR) mission). We used the Taguchi method to set up experiments, conducted the experiments in a case company specific test arena, and performed different forms of regression analysis. The paper titled A Novel Approach to Detect Detrimental Weak Emergent Behavior Considering Noise Factors: an Autonomous Search and Rescue Case Study uses this data, but does not show the complete set. The data is partially obtained from the case company's subject matter experts and partially generated from the statistical tool Minitab.