WLS {UStatBookABSC}

Computes a weighted least squares linear regression on possibly multivariate responses

Description

Computes a weighted least squares linear regression on possibly multivariate responses

Usage

WLS(Y, X, W)

Arguments

Y

a numeric matrix, to act as response

X

a numeric matrix, to act as covariates

W

a numeric matrix, to act as weights

Value

a vector of regression coefficients

Examples

 ## Not run: 
 DataY = cbind(CCU12_Precip$Precip, CCU12_Precip$TMax);
DataX = cbind(rep(1, length(CCU12_Precip$Precip)), CCU12_Precip$TMin)			
BetaHat.New = WLS(DataY, DataX)
    		
## End(Not run)