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Haircut for frizzy curly hair on The technique is similar in its aims to factor ANALYSIS but has different technical features. Also called principal-components factor analysis. principal components regression a prediction model that uses a set of uncorrelated variables obtained from a principal components ANALYSIS as predictor or INDEPENDENT VARIABLES. The benefit of this approach is that the original set of predictors in the model may have been so highly interrelated as to result in cOLLINEARITY. The drawback is that if the uncorrelated variables are not interpretable, then the problem of collinearity is not solved. principal factor analysis an approach to identifying the dimensions underlying associations among a set of variables by using a covariance MATRIX of estimated cOM-MUNALITIES as input. Principal factor analysis assumes that all variables have been measured with some degree of error and requires that dimensions be extracted in a particular way. Haircut for frizzy curly hair 2016.
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