# Focal regression

`focalReg.Rd`

Calculate values for a moving-window by comparing the value in one layers with the values in one to many other layers. A typical case is the computation of the coefficients for a focal linear regression model.

## Usage

```
# S4 method for class 'SpatRaster'
focalReg(x, w=3, fun="ols", ..., fillvalue=NA, filename="", overwrite=FALSE, wopt=list())
```

## Arguments

- x
SpatRaster with at least two layers. The first is the "Y" (dependent) variable and the remainder are the "X" (independent) variables

- w
numeric or matrix to define the focal window. The window an be defined as one (for a square) or two numbers (row, col); or with an odd-sized weights matrix. See the Details section in

`focal`

. Note that if a matrix with numbers other than zero or one are used, the values are used as weights. For this to work,`fun`

must have an argument`weights`

- fun
a function with at least two arguments (one for each layer). There is a built-in function "ols" for both the weighted and unweighted Ordinary Least Square regression. This function has an additional argument

`na.rm=FALSE`

and`intercept=TRUE`

- ...
additional arguments for

`fun`

- fillvalue
numeric. The value of the cells in the virtual rows and columns outside of the raster

- filename
character. Output filename

- overwrite
logical. If

`TRUE`

,`filename`

is overwritten- wopt
additional arguments for writing files as in

`writeRaster`