Bundles the input dataset, chosen model, region map, set sizes, and a lazy [`StatisticsResult-class`] accessible via `statistics(result)`.
Slots
datasetThe input [`VennDataset-class`].
modelResolved model name (e.g. `"venn-4-set"` or `"proportional"`).
regionsNamed list keyed by `as.character(bitmask)`, each value a [`RegionData-class`]. Only non-empty regions are stored (sparse for high set counts with few overlaps).
set_sizesNamed integer vector: set name -> inclusive size.
is_approximate`TRUE` for the proportional 3-set layout where exact areas can't be achieved with circles.