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and chemometrics. It is widely applied in industries such as pharmaceuticals, biotechnology, and chemicals to model complex datasets and predict future process behavior. Core Capabilities of SIMCA Data Exploration: Principal Component Analysis (PCA) to identify trends, patterns, and outliers. Supervised Modeling: Partial Least Squares (PLS) Orthogonal PLS (OPLS) for high-precision regression and classification. Process Understanding: Simca P Umetrics With Crack Fixed

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