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"Generalized least squares (GLS) is a technique for estimating the unknown parameters in a linear regression model. The GLS is applied when the variances of the observations are unequal (heteroscedasticity), or when there is a certain degree of correlation between the observations." [Wikipedia]

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Which residuals - from gls or summary(gls) should I use?

In R, gls object contains "residuals" and the summary(gls) object contains residuals. Both differ from each other. Which is the one I should use for checking the normality? > shapiro.test(summary(m)$r …
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