type 1 sum of squares
Explained sum of squares  Wikipedia, the free encyclopedia
The explained sum of squares (ESS) is the sum of the squares of the deviations of the predicted values from the mean value of a response .
http://en.wikipedia.org/wiki/Explained_sum_of_squares
Types of Sums of Squares — AFNI and NIfTI Server for NIMH/NIH ...
May 31, 2011 . This lack of invariance to order of entry into the model limits the usefulness of Type I sums of squares for testing hypotheses for certain designs.
http://afni.nimh.nih.gov/sscc/gangc/SS.html
Sum of Squares Type I, II, III in R
Mar 10, 2011 . Example walkthrough in R Intercorrelations of indicator variables. Sum of squares type I Sum of squares type II Sum of squares type III .
http://www.unikiel.de/psychologie/dwoll/r/ssTypes.php
Instructions


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Sum of Squares
For the model, you can choose a type of sums of squares. Type III is the most commonly used and is the default. Type I. This method is also known as the .
http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/topic/com.ibm.spss.statistics.help/glm_general_factorial_sum_of_squares.htm 
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R help  TypeI v/s TypeIII SumOfSquares in ANOVA
Hello, I believe the aov() function in R uses a "TypeI sumofsquares" by default as against "TypeIII". This is relevant for me because I am trying .
http://r.789695.n4.nabble.com/TypeIvsTypeIIISumOfSquaresinANOVAtd1573657.html 

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Computing Type I, Type II, and Type III Sums of Squares directly ...
Computing Type I, Type II, and Type III Sums of Squares directly using the general linear model. Data. These are the data from Howell (2007) Table 16.5 except .
http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Type13.pdf 
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[R] TypeI v/s TypeIII SumOfSquares in ANOVA
[R] TypeI v/s TypeIII SumOfSquares in ANOVA. John Fox jfox at mcmaster.ca. Tue Mar 2 03:19:01 CET 2010. Previous message: [R] TypeI v/s TypeIII .
https://stat.ethz.ch/pipermail/rhelp/2010March/230280.html 
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The four types of Sums of Squares in
Afterwards, I will look at the four types of SAS sums of squares, and suggest some ways you can use your understanding of the basic issues to decide which type .
http://www1.umn.edu/statsoft/doc/statnotes/stat05.txt

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References
Resources
General Linear Models (GLM)
Whole Model Tests · Six Types of Sums of Squares · Error Terms for Tests · Testing Specific Hypotheses · Testing Hypotheses for Repeated Measures and .
http://www.statsoft.com/textbook/generallinearmodels/