https://highondata.com/tags/pca/ Recent content in PCA on High On Data Hugo -- gohugo.io en Sun, 01 Oct 2023 10:32:00 +0000 https://highondata.com/blogs/factor_analysis_using_principal_component_method_spss/ Sun, 01 Oct 2023 10:32:00 +0000 https://highondata.com/blogs/factor_analysis_using_principal_component_method_spss/ Factor analysis is a statistical method that can be used to reduce many variables into a smaller number of factors that explain the underlying structure of the data. Principal components analysis (PCA) is a type of factor analysis that is commonly used in practice. PCA works by transforming the original variables into a new set of variables called principal components. The principal components are ordered by their eigenvalues, with the first principal component explaining the most variance in the data, followed by the second principal component, and so on.