Canonical correlation analysis (CCA) is a multivariate statistical technique used to explore the relationships between two sets of variables by finding linear combinations that maximize their correlation. It is particularly useful for understanding complex interdependencies in data where multiple variables in one set are related to multiple variables in another set.