What Does SIMCA Stand For?

SIMCA stands for Soft Independent Modeling Of Class Analogy Principal Component Analysis

SIMCA, which stands for Soft Independent Modeling of Class Analogy Principal Component Analysis, is a multivariate statistical technique used for classification and regression tasks. It combines principles of principal component analysis (PCA) with class-based modeling to create models that can distinguish between different classes in data while accommodating the inherent variability within each class. SIMCA is particularly useful in fields such as chemometrics and quality control, enabling effective data interpretation and decision-making based on complex datasets.