rankLM: Rank aggregation using linear models
In shuxiaoc/agRank: Rank Aggregation in Phenotypic Selection

Aggregate the ranking from triple comparisons into a consensus ranking using linear models.

1	rankLM(data, K = NA)

`data`	a n * m matrix, where n is the number of observers and m is the number of items to rank; each row vector is a partial or complete ranking, with i-th element being the rank assined to item i; the entry where that item is not ranked in the partial ranking is replaced by 0
`K`	the additive relationship matrix; if provided, it will be used to specify the covariance structure of the linear model

Return a list with two components:

`ranks`	a vector where the i-th element is the rank assigned to the i-th item.
`ranking`	a vector where the i-th element is the item ranked in the i-th place