According to this post in Wikipedia the residual sum of squares (RSS), the sum of squared residuals (SSR) and the sum of squared errors of prediction (SSE) are the same.

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So the RSS = SSR = SSE

Now, according to this post in Wikipedia the explained sum of squares (ESS), is the same as the model sum of squares (SSR) but the residual sum of squares (RSS) is not the same as the SSR

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So here the ESS = SSR ≠ RSS?

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    $\begingroup$ The abbreviation "SSR" in the first quote is explained as "sum of squared residuals"; in the second as "sum of squares due to regression". So there's no contradiction. $\endgroup$ Feb 18, 2016 at 10:58
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    $\begingroup$ I didn't notest that. Thanks. That means that there are not strict names for these in statistical literature? I mean are these abreviations widely used? $\endgroup$ Feb 18, 2016 at 12:49
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    $\begingroup$ It's often convenient to abbreviate the terms rather than repeat them in full, but there's nothing near enough to a standard abbreviation to justify not giving them in full on first use. $\endgroup$ Feb 18, 2016 at 13:18


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