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The orthoblique rotation for factor analysis
The gradient projection algorithm (GPA) is the most used tool to rotate factor models. However, GPA is currently limited to fully orthogonal or fully oblique solutions. Keeping structural zeros in selected positions of the factor correlation matrix after rotation is currently unavailable. This limit
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