An implementation of enhanced versions of the classical Leaps and Bounds algorithm for variable selection is provided. Features of this implementation include: (i) The availability of general routines capable of handling many different statistical methodologies and comparison criteria. (ii)...

The traditional approach to the interpretation of the results from a Principal Component Analysis implicitly discards variables that are weakly correlated with the most important and/or most interesting Principal Components. Some authors argue that this practice is potentially misleading and...

A parametric modelling for interval data is proposed, assuming a multivariate Normal or Skew-Normal distribution for the midpoints and log-ranges of the interval variables. The intrinsic nature of the interval variables leads to special structures of the variance--covariance matrix, which is...