You are working with a data set consisting of five features. To apply PCA, you calculate the covariance matrix and get the five eigenvalues as 18.67, 12.50, 2.25, 1.05, and 0.75. You want to achieve as much as dimensionality reduction that is possible to keep the mean square error (mse) below 2.5. What are the eigenvalues that you will select?