A Component-based Approach to Structural Equation Modeling
To Be Published September 14th 2014 by Chapman and Hall/CRC
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial...
Published October 23rd 2013 by Chapman and Hall/CRC