iSCAMinds: Combines indices into a single index using linear modelling
In tcarruth/MSEtool: Management Strategy Evaluation Toolkit

iSCAM assessments often make use of multiple indices of abundance. The DLMtool data object and MPs currently only make use of a single index. combiSCAMinds is a function that creates a single index from many using linear modelling. It is a simple way of providing initial calculations of management recommendations and it should be noted that this process is important and in a real application would require due diligence (ie peer reviewed data workshop).

1	iSCAMinds(idata, Year, fleeteffect = T)

`idata`	List: the indices recorded in a read from an iSCAM data folder, e.g. replist$data$indices
`Year`	Integer vector: the years of the DLMtool data object ie Data@Year
`fleeteffect`	Logical: should a fleet effect be added to the linear model?