"Krig.find.gcvmin" <-
function (info, lambda.grid, gcv, gcv.fun, tol, verbose = FALSE,
give.warnings=TRUE) 
{
    ind <- !is.na(gcv)
    lambda.grid <- lambda.grid[ind]
    gcv <- gcv[ind]
    nstep.cv <- length(lambda.grid)
    il <- order(gcv)[1]
    lambda.gcv <- lambda.grid[il]
    gcv.raw <- min(gcv)
    if (verbose) {
        cat("Results of coarse search lambda and GCV:", 
lambda.grid[il],gcv.raw, fill=TRUE)
    }
    if ((il > 1) & (il < nstep.cv)) {
        out <- golden.section.search(lambda.grid[il - 1], lambda.grid[il], 
            lambda.grid[il + 1], gcv.fun, f.extra = info, tol = tol * 
                gcv.raw)
        return(out$x)
    }
    else {
        if( give.warnings){
         warning("GCV search gives a minumum at the endpoints of the grid search")}
        return(lambda.gcv)
    }
}