ETAGenerate: ETAGenerate
In frahik/GFR: GFR (Genomic Functional Regression)

Function to generate a Linear Predictor from a dataset to GFR.

ETAGenerate(dataset, datasetID = "Line", Multivariate = "Traditional",
  GenomicMatrix = NULL, REML = NULL, priorType = "BRR", Bands = NULL,
  Wavelengths = NULL, method = "Simple", basisType = "Fourier.Basis",
  nBasis = 1, ...)

`dataset`	TidyFormat
`datasetID`	column with the identifiers.
`Multivariate`	By default, when de dataset includes more than one Environment and more than one Trait (MTME) the solution is adjusted by the method traditional, also is possible adjust the MTME by "SVD" <doi: >
`GenomicMatrix`	lalalalal
`REML`	Logical, By default is NULL, If is TRUE, the priorType is ommited else If is FALSE, the priorType is ommited and.
`priorType`	Prior to assign, by default is 'FIXED', could be 'BRR', 'BayesA', 'BayesB', 'BayesC' or 'BL'
`Bands`	Bands
`Wavelengths`	Wavelenths
`method`	Model to apply in bands, by default 'Alternative' will be used, also could be 'Simple', 'Complex'
`basisType`	Basis function, by default is Fourier.Basis also could be Bspline.Basis.
`nBasis`	Number of basis by default only use 1 basis.
`...`	Further arguments passed to or from other methods.