Handling missing values with/in multivariate data analysis (principal component methods)

Documentation for package ‘missMDA’ version 1.0

estim_ncpMCA	Estimate the number of dimensions for the Multiple Correspondence Analysis by cross-validation
estim_ncpPCA	Estimate the number of dimensions for the Principal Component Analysis by cross-validation
imputeMCA	Impute missing values in categorical variables with Multiple Correspondence Analysis
imputePCA	Impute dataset with PCA
MIPCA	Multiple Imputation with PCA
orange	Sensory description of 12 orange juices by 8 attributes.
plot.MIPCA	Plot the graphs for the Multiple Imputation in PCA
vnf	Questionnaire done by 1232 individuals who answered 14 questions