# regSeries: Estimates the monomial time series In GPoM: Generalized Polynomial Modelling

 regSeries R Documentation

## Estimates the monomial time series

### Description

Creates time series by multiplying given time series among them.

### Usage

``````regSeries(nVar, dMax, series, dMin = 0, pReg = NULL)
``````

### Arguments

 `nVar` Number of variables considered in the polynomial formulation. `dMax` Maximum degree of the polynomial formulation. `series` A matrix containing the original time series from which the monomials are built. Each column corresponds to one given variable. `dMin` The minimum negative degree of the polynomial formulation (0 by default). `pReg` A matrix filled, for each column, with powers of time series used to create.

### Value

`rpFull` A matrix of time series. Each column corresponds to one regressor such as `X_1^2 X_3 X_4`

### Author(s)

Sylvain Mangiarotti

### Examples

``````data(TSallMod_nVar3_dMax2)
sprottK <- as.matrix(TSallMod_nVar3_dMax2\$SprK\$reconstr)[,2:4]
dMax <- 2
nVar <- dim(sprottK)[2]

#Example 1
polySeries1 <- regSeries(nVar, dMax, sprottK)

#Example 2
p <- c(1,3,1)
polySeries2 <- regSeries(nVar, dMax, sprottK, pReg=p)

``````

GPoM documentation built on July 9, 2023, 6:23 p.m.