After doing PCA it is common that the first component describes the largest part of variability. This is important in i.e. study of body measurements where it is commonly known ([Jolliffe, 2002](http://goo.gl/4jsCa)) that PC1 axis captures size variation. My question is whether PCA scores after varimax rotation retain the same properties or are they different as mentioned in this [topic](http://stats.stackexchange.com/questions/612/is-psychprincipal-function-still-pca-when-using-rotation)? Since I need PCA scores for further statistical analyses I am wondering if varimax is needed and does it in fact disrupt the representation of real sample variability so that individual scores on rotated axes are uninformative or lead to miss-interpretation of reality? Also could someone suggest some other references on this topic?