ivx_fit: Fitter Functions for IVX Models
In kvasilopoulos/ivx: Robust Econometric Inference

Basic function called by ivx to fit predictive models. These should only be used directly by experienced users.

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ivx_fit(y, x, horizon = 1, offset = NULL, ...)

ivx_wfit(y, x, w, horizon = 1, offset = NULL, ...)

`y`	vector of observations of length `n`, or a matrix with `n` rows.
`x`	design matrix of dimension `n * p`.
`horizon`	is the horizon (default horizon = 1 corresponds to a short-horizon regression).
`offset`	(numeric of length `n`). This can be used to specify an a priori known component to be included in the linear predictor during fitting.
`...`	currently disregarded.
`w`	vector of weights (length `n`) to be used in the fitting process for the `wfit` functions. Weighted least squares is used with weights `w`, i.e., `sum(w * e^2)` is minimized.