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Provide 4 vignettes explaining in detail how the different features of MagmaClustR work on practical examples.
Implement expand_grid_inputs() to help create customised n-dimensional input
grids on which to evaluate the GP.
Implement regularize_data() to project a dataset on a specific input grid,
(possibly to control the size of the resulting covariance matrices and the associated running time).
Add an internal 'Reference' column to datasets, to provide an adequate identifier for multidimensional inputs.
Implement a new version of simu_db() to generate more realistic 2-D datasets.
Minor
Round inputs to 6 significant digits to avoid numerical errors.
Generalise the creation of a grid in any dimension when 'grid_inputs' is not
specified in the prediction functions.