Nothing

```
linear.fit<-function(x,y,weights,tol=1e-8,max.iter=25,verbose=FALSE){
if (!is.matrix(x))
x <- as.matrix(x)
nvars <- NCOL(x)
nobs <- NROW(x)
if (missing(weights))
weights=rep(1,nobs)
fit <- .Fortran("dqrls", qr = x * weights, n = nobs,
p = nvars, y = weights * y, ny = as.integer(1), tol = min(1e-07,
glm.control()$epsilon/1000), coefficients = double(nvars),
residuals = double(nobs), effects = double(nobs),
rank = integer(1), pivot = 1:nvars, qraux = double(nvars),
work = double(2 * nvars), PACKAGE = "CNVassoc")
coeffic <- fit$coefficients
mu <- drop(x%*%coeffic)
sigma<-sqrt(sum((y-mu)^2*weights)/sum(weights))
coeffic<-as.vector(coeffic)
names(coeffic)<-colnames(x)
return(list(coeffic=coeffic,sigma=sigma))
}
```

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