wlr: Wavelet linear regression (WLR)

In yongzesong/WS: Wavelet Soil Prediction: Wavelet Linear Regression

Description

Function for wavelet linear regression.

Usage

wlr(y, x, wn, ns = 6)
## S3 method for class 'wlr'
print(x, ...)
## S3 method for class 'wlr'
plot(x, ...)
## S3 method for class 'wlr'
predict(object, newdata, ...)

Arguments

y	A vector of response variable
x	A matrix of independent variables. Row: samples; Column: spectra
wn	A vector of wavelength of x
ns	Number of scale of multiresolution analysis. Default: ns = 6.
object	A list of results
newdata	A matrix of new independent variables for prediction
...	Ignore

Examples

data("soilcarbon")
wn <- seq(350, 2500, 10)
# test
wlr1 <- wlr(y = y, x = x[,1], wn = wn, ns = 6)
# all data
## Not run: wlr1 <- wlr(y = y, x = x, wn = wn, ns = 6) # about 10s

yongzesong/WS documentation built on Dec. 23, 2021, 8:17 p.m.