This function helps locating the number of dimensions that are
important for CA interpretation, according to the so-called 'average rule'. The
reference line showing up in the returned histogram indicates the threshold
for an optimal dimensionality of the solution according to the average rule.
Usage
aver.rule(data)
Arguments
data
Name of the dataset (must be in dataframe format).