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Now when you look at this max, you see that if these variables are centered, otherwise you do have to add the centering.
Prior to the runtime analysis of the PCA, the data were preprocessed by par scaling (the variables are centered and divided by the square root of their standard deviation).
The models include SES-age interactions and SES-area income-level interactions; the age and area income level variables are centered by their means.9 This implies that the regression coefficients of the two dummy variables, namely the highest and medium SES, should be interpreted as the health difference among different SES groups with area income level 4762.47 yuan and aged 60.
All variables are centered.
To simplify our discussion, we assume that all the four variables are centered, i.e. their means have been subtracted from initial individual values for each variable.
Similar(55)
Predictor variables were centered *P < 05 **P < 01.
Before the cross-product was computed the variables were centered around the grand means.
All variables were centered prior to analysis to speed convergence and aid in interpretation.
Continuous independent variables were centered prior to applying the Reich et al. [8] model to the FIA plots.
In addition, student-level and school-level variables were centered around their grand means for interpretative and analytical benefits (see Raudenbush and Bryk 2002).
Variables showing little variance among cases were removed using the nearZeroVar function in the caret [58] package and all variables were centered by the mean and divided by the standard deviation using the preProcess function in the caret package.
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