how can you use principal components regression which of the following is a method for evaluating the contributions of specific predictors? pca or eigenvector how to transform pca how to transform principal component regression how to evaluate contributions of specific predictors in ols regression how to transform confidence intervals how can a pca transformation be used to regularize regression how to evaluate the contribution of a particular predictor in a regression how to transform 95% confidence interval back into original space how to evaluate contribution of predictors in pca why can predictors not be included in the pca transformation in regression how to transform confidence intervals what is meant by transformation in pca how can we find an appropriate fit for a principal component? why do you have to transform pca how can a regression model be used in ols can an ols predictor be transform to a different space can you use pca to evaluate variance can you transform the 95% ci's how is pca transformed and when do you transform the confidence intervals?