R: Adjust for Missing Values

naExcludeMvr {pls} | R Documentation

## Adjust for Missing Values

### Description

Use missing value information to adjust residuals and predictions. This is the ‘mvr equivalent’ of the `naresid.exclude` and `napredict.exclude` functions.

### Usage

    naExcludeMvr(omit, x, ...)

### Arguments

`omit` | an object produced by an `na.action` function, typically the `"na.action"` attribute of the result of `na.omit` or `na.exclude`.
`x` | a three-dimensional array to be adjusted based upon the missing value information in `omit`.
`...` | further arguments. Currently not used.

### Details

This is a utility function used to allow `predict.mvr` and `residuals.mvr` to compensate for the removal of `NA`s in the fitting process.

It is called only when the `na.action` is `na.exclude`, and pads `x` with `NA`s in the correct positions to have the same number of rows as the original data frame.

### Value

`x`, padded with `NA`s along the first dimension (‘rows’).

### Author(s)

Bjørn-Helge Mevik and Ron Wehrens

### See Also

`predict.mvr`, `residuals.mvr`, `napredict`, `naresid`

[Package pls version 2.6-0 Index]