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

**Methods**

Print function

Wolfram Stacklies

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.