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Data analysis / Covariance and correlation / Singular value decomposition / Factor analysis / Principal component analysis / Varimax rotation / Eigenvalues and eigenvectors / Variance / Linear regression / Statistics / Multivariate statistics / Regression analysis
Date: 2014-12-10 19:44:31
Data analysis
Covariance and correlation
Singular value decomposition
Factor analysis
Principal component analysis
Varimax rotation
Eigenvalues and eigenvectors
Variance
Linear regression
Statistics
Multivariate statistics
Regression analysis

Principal Components Analysis - SPSS In principal components analysis (PCA) and factor analysis (FA) one wishes to extract from a set of p variables a reduced set of m components or factors that accounts for most of th

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