qwdap.pcr {QWDAP} | R Documentation |
Principle Component Regression
Description
Principle component regression. This is a linear regression method used to establish the linear relationship between the original time series and the modes generated by quantum walks.
Usage
qwdap.pcr(in_data, data_range, plotting)
Arguments
in_data |
a 'QWMS' object, which includes the target series and the selected modes which can be obtained from modes selection. |
data_range |
the range of the train samples. |
plotting |
whether to plot. |
Value
a 'QWMODEL' object which includes the information of regression analysis.
Examples
data("traffic.n1")
res.pcr <- qwdap.pcr(traffic.n1,c(1,500), FALSE)
[Package QWDAP version 1.1.18 Index]