Discriminant Analysis is a statistical technique used to model and analyze data with more than two group categories (multiclass). This technique is used to predict the membership of an object or individual into one of several categories based on known feature values. One well-known method is Linear Discriminant Analysis (LDA), which attempts to find a linear combination of features that maximizes the separation between groups. Discriminant analysis is often used in classification and predictive analysis, such as in risk identification or disease classification.