![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 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](/pdf-icon.png) Date: 2014-12-10 19:44:31Data 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 thAdd to Reading ListSource URL: core.ecu.eduDownload Document from Source Website File Size: 171,67 KBShare Document on Facebook
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