time_pls: time_pls

In scworland-usgs/timepls: Partial least squares (pls) regression on time series data.

Description

Performs partial lease squares regression on time series data for a given number of lags.

Usage

time_pls(y, X, dates, lag = 30, ncomps = 3)

Arguments

y	Vector of variable to predict using pls
X	Matrix of covariates for pls
lag	Number of lags to be used for creating pls components
ncomps	Number of components for pls regression

Examples

## Not run: 
d <- climate_data
dates <- d$date
y <- d$cfs
X <- cbind(d$p,d$tmin,d$tmax)
fit <- time_pls(y,X,dates,lag=30,ncomps=3)

## End(Not run)

scworland-usgs/timepls documentation built on May 20, 2019, 11:37 a.m.