csfit1 <- function (cc, G, logRm = FALSE, logBase = 2)
{
if (logRm == TRUE) {
G = logBase^G
}
fit1 = lsfit(cc, G, intercept = FALSE)
#se1 = ls.diag(fit1)$std.err
if (logRm == TRUE) {
ghat = log(fit1$coefficients, logBase)
ghat[is.nan(ghat)] = 0
#se = log(se1, logBase)
return(list(ghat = ghat, residuals = fit1$residuals))
}
else {
return(list(ghat = fit1$coefficients, residuals = fit1$residuals))
}
}
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