There are two way to interpolate data from a given spectrum.
Frist, one can do zero padding to cover `n`

new data points. Or, secound
the complex amplitude with the associated frequency is taken and evaluated
at given points `xout`

. Doing that for all frequencies and amplitudes
will give the interpolation.

1 | ```
interpolate.fft(y, x = NULL, n = NULL, xout = NULL)
``` |

`y` |
numeric data vector to be interpolated |

`x` |
numeric data vector with reference points |

`n` |
number of new points |

`xout` |
a vector new points |

A list with a `x`

and `y`

component is returned. The `e99`

value evaluates the error of the interpolation with respect to linear approximation
with the `approx()`

function.

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