getComplimentaryProducts: Function to return complimentary product recommendations
In byapparov/recommender: Provides functions for collaborative filtering

Function to return complimentary product recommendations

1 2	getComplimentaryProducts(sim.matrix, skus, values, exclude.same = TRUE, groups = NULL, affinity, sku.details, n.of.types)

`sim.matrix`	- similarity matrix.
`skus`	- skus derived from the visitor history.
`values`	- required number of recommendations.
`exclude.same`	- excludes recommendations for values in skus.
`groups`	- named vector of sku categories.
`affinity`	- affinity matrix
`sku.details`	- named vector of skus and types
`n.of.types`	- number of types the results should be selected from