Principal component regression

Principal Component Regression (or PCR) is a way of making predictions using a set of data. It works by looking at different pieces (or "parts") of the data and figuring out how they are related. Then, it uses those relationships to predict what will happen next. Think of it like taking a puzzle and breaking it into its individual pieces. By looking at the pieces, we can guess what the whole puzzle looks like. That's what PCR does with data.