Hello, I've been working with categorical, binary data and have been using a combination of both FactoMiner and missMDA to impute the binary data set. I have had success imputing the data set and I am now working with a complete set. Now, I wish to reduce the dimensionality of the data and do so using a method similar to logistic or binary PCA. I've been trying to use MCA to accomplish this, but am unsure how to use the information I am getting from this analysis to create my structured components as in PCA. Any help would be much appreciated. Thanks, Chris [[alternative HTML version deleted]]