Sufficient dimension reduction

Sufficient Dimension Reduction is a way to simplify data sets so you can better understand them. It does this by finding the most important parts of the data and getting rid of less important parts. This makes the data easier to understand and analyze. For example, if you were looking at data from a survey, you could reduce it to just the questions that are most important and get rid of the questions that aren't as important. This would make it much easier to understand what the data is telling you.