nniRes: Class for representing a nearest neighbour imputation result
In pcaMethods: A collection of PCA methods

This is a class representation of nearest neighbour imputation (nni) result

Creating Objects
new("nniRes", completeObs=[the estimated complete observations], k=[cluster size], nObs=[amount of observations], nVar=[amount of variables], centered=[was the data centered befor running LLSimpute], center=[original means], method=[method used to perform clustering], missing=[amount of NAs])

Slots

completeObs: "matrix", the estimated complete observations
nObs: "numeric", amount of observations
nVar: "numeric", amount of variables
correlation: "character", the correlation method used (pearson, kendall or spearman)
centered: "logical", data was centered or not
center: "numeric", the original variable centers
k: "numeric", cluster size
method: "character", the method used to perform the clustering
missing: "numeric", the total amount of missing values in original data