predict.smooth.spline
Smoothing Spline at New Data

### Description

Uses a fitted spline to predict behavior at new data points.

### Usage

    ## S3 method for class 'smooth.spline':
    predict(object, x, deriv)

### Arguments

object | a smooth.spline object, as created by the smooth.spline function.
x | the new values of x. The fit is linear beyond the range of the original x values.
deriv | the order of derivative required. The default is 0 (the spline function itself).

### Details

This function is a method for the generic function predict for class smooth.spline. It can be invoked by calling predict for an object x of class smooth.spline or a subclass thereof. It cannot be called directly.
Value
returns a list with the components x and y.

- The x component is identical to the input x sequence.
- The y component is the derivative of order deriv of the fitted spline function at the values in x.

See Also
smooth.spline, predict.
Examples

    ss <- with(Sdatasets::ethanol, smooth.spline(NOx ~ E))
    predict(ss, pretty(range(Sdatasets::ethanol$E), 20), deriv = 1)

Package stats version 6.1.5-18
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