Application of Principal Component Analysis To Identify the Inconsistent Variables for The Manufacturing of Crystalline Drug Component: Technical Report
نویسندگان
چکیده
Case study of manufacturing of crystalline drug substance was used to see the application of Principal component analysis. Principal Component Analysis (PCA) is one of the multivariate methods of analysis and has been used widely with large multidimensional data sets. PCA involves a mathematical procedure that transforms a number of possible correlated variables into a smaller number of uncorrelated variables. The first principal component accounts for as much of the variability in the data as possible, and each succeeding component accounts for as much of the remaining variability as possible. Among the seven components of crystalline drug component four components B, C, D and G causes main problem for making the drug. Keywords—multivariate techniques, principal component analysis, crystalline drug component, statistics, factors loading.
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