Projection pursuit regression

Projection Pursuit Regression (PPR) is a type of regression used to identify unusual patterns or trends in data. It makes it easier to understand the data by looking for clusters, or groups, within it. PPR works by taking a set of data (like numbers or measurements) and projecting it onto different planes, or flat surfaces. Each projection looks at the data from a different angle, which helps us to spot patterns. By using PPR, we can learn more about our data, and how the different parts of it are connected.