Generalized Least-Squares Method. A factor extraction method that minimizes the sum of the squared differences between the observed and reproduced correlation matrices. Correlations are weighted by the inverse of their uniqueness, so that variables with high uniqueness are . Generalized or Weighted least squares (GLS) is a modification of the previous one. When minimizing the residuals, it weights correlation coefficients differentially: correlations between variables with high uniqness (at the current iteration) are given less weight $^3$. Generalized Least Squares In this chapter we generalize the results of the previous chapter as the basis for introducing the pathological diseases of regression analysis.

Weighted least squares regression using SPSS, time: 7:19

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