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Correlation coefficients revisited The correlation matrix and PCA The component matrix The rotated component matrix A detailed example Choosing a method of rotation Sample size requirements Hierarchical multiple factor analysis The effects of variable selection.
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To obtain factor loadings, we used a promax rotation, a method of oblique rotation that allows factors to be correlated with each other.
In [19], we proposed a method of cluster rotation for the downlink of a multicell MU-MIMO HetNet, and its performance was compared with static clustering using both maximum throughput (MT and PFF scheduling metrics.
Finally, this inconsistency could be ascribed to different analytical methods to examine the FLCAS a different type of exploratory factor analysis with a different method of rotation.
The LCS provides a method of training a rotation matrix for each cluster.
Through analyzing the relationship between gyro dynamic torques produced by the changes of earth rotation parameters (ERP), a method of measuring the earth rotation parameters was proposed and explored by using gyroscope.
In this paper, the gas action effect has been analyzed by the method of rotation vector decomposition.
Impervious area data were derived from the Landsat images using superior ensemble learning method of rotation forest.
Thus, for the sake of brevity in interpretation, this study used varimax method of rotation variables that helps to reduce the number of variables with a high loading on a factor.
In [18], Chen proved that T is bounded on L p (ℝ n × ℝ m ) for 1 < p < ∞ when Ω ∈ L log L 2 (Sn-1× Sm-1) and h = 1 where he mainly relies on the method of rotation.
Construct validity was analysed by "the maximum-likelihood method" and "direct oblimin method" of rotation (factor analysis).
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