[R] Efficient Package for Huge datasets in R

Dear Sir/Madam, I have a large data set of 10,17,289 observations of 10,830 variables. I need to use PCA to reduce the dimension of dataset. I have already tried irlba, prcomp and nsprcomp packages in R but couldn't do for huge data sets. i.e pc <- prcomp_irlba(sparseYY[1:5000,], n=50, retx = TRU

[R] Regarding Principal Component Analysis result Interpretation

Dear Sir/Madam, I am trying to do PCA analysis with "iris" dataset and trying to interpret the result. Dataset contains 150 obs of 5 variables Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.13.5 1.4 0.2 se