latinHypercubeDesign: Create a latin hypercube design (LHD)
In rgp: R genetic programming framework

Produces a LHD matrix with dimension columns and size rows.

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latinHypercubeDesign(dimension, size = max(11 * dimension, 1 + 3 * dimension +
  dimension * (dimension - 1)/2 + 1), lowerBounds = replicate(dimension, 0),
  upperBounds = replicate(dimension, 1), retries = 2 * dimension)

`dimension`	Dimension of the problem (will be no. of columns of the result matrix).
`size`	Number of design points, defaults to `max(11 * dimension, 1 + 3 * dimension + dimension * (dimension - 1) / 2 + 1)`.
`lowerBounds`	Numeric vector of length `dimension` giving lower bounds for sampling, defaults to `c(0.0, ...)`.
`upperBounds`	Numeric vector of length `dimension` giving upper bounds for sampling, defaults to `c(1.0, ...)`.
`retries`	Number of retries, which is the number of trials to find a design with the lowest distance, default is `2 * dimension`.