Prepare data for augmenting a nax application

This function collects all the necessary data that is required prior updating a nax application.

Usage

proximate_add2nax(formulas = NULL, data, metadata_list = NULL, skip_indices_list = NULL)

Arguments

formulas

a list containing one or more objects of class formula where each of them represents the model to be calibrated.

data

a data.frame containing the data of the variables in the model (as in the calibrate function).

metadata_list

a list of containing the specifications for the metadata of each model in formulas given in the same order. Each element in the list should be defined as in the metadata argument of calibrate using the add_model_metadata function. Defaults to NULL.

skip_indices_list

a list of vectors of integers for the indices in the input data to be skipped for the computation of each of the models in formulas. The vectors in this list must be provided in the same order as their corresponding counterparts in formulas. Defaults to NULL. In case a list is passed, the list components must be filled with numeric() for those formulas where there is no indices to be skipped.

Value

A list mirroing the objects passed to the function.

See also

proximate_recalibrate_nax

calibrate,

preprocess_recipe,

fit_plsr,

fit_xlsr,

calibration_control,

calibrate_models

Author

Leonardo Ramirez-Lopez and Claudio Orellano