Three machines are running and  the number of  daily breakdowns  for each machine are recorded.
A small sample is given  (note that seond machine has only two records):
First machine : 1, 2, 3
Second machine : 4, 5
Third machine : 4, 4, 4

> (def y(list (list 1 2 3) (list 4 5) (list 4 4 4))
  )
Y

> (def out-one(oneway-model y))

Least Squares Estimates:

Group 0                    2.00000      (0.408248)
Group 1                    4.50000      (0.500000)
Group 2                    4.00000      (0.408248)

R Squared:                0.789474
Sigma hat:                0.707107
Number of cases:                 8
Degrees of freedom:              5

Group Mean Square:         4.68750      (2.00000)
Error Mean Square:        0.500000      (5.00000)

OUT-ONE
> (send out-one :help)
loading in help file information - this will take a minute ...done
ONEWAY-MODEL-PROTO
Normal Linear Regression Model
Help is available on the following:

ADD-METHOD ADD-SLOT BASIS BOXPLOTS CASE-LABELS COEF-ESTIMATES COEF-STANDARD-ERRORS COMPUTE COOKS-DISTANCES DELETE-DOCUMENTATION DELETE-METHOD DELETE-SLOT DF DISPLAY DOC-TOPICS DOCUMENTATION ERROR-DF ERROR-MEAN-SQUARE EXTERNALLY-STUDENTIZED-RESIDUALS FIT-VALUES GET-METHOD GROUP-DF GROUP-MEAN-SQUARE GROUP-NAMES GROUP-SUM-OF-SQUARES GROUPED-DATA HAS-METHOD HAS-SLOT HELP INCLUDED INTERCEPT INTERNAL-DOC ISNEW LEVERAGES METHOD-SELECTORS NEW NUM-CASES NUM-COEFS NUM-INCLUDED OWN-METHODS OWN-SLOTS PARENTS PLOT-BAYES-RESIDUALS PLOT-RESIDUALS PRECEDENCE-LIST PREDICTOR-NAMES PRINT PROTO R-SQUARED RAW-RESIDUALS REPARENT RESIDUAL-SUM-OF-SQUARES RESIDUALS RESPONSE-NAME RETYPE SAVE SHOW SIGMA-HAT SLOT-NAMES SLOT-VALUE STANDARD-DEVIATIONS STUDENTIZED-RESIDUALS SUM-OF-SQUARES SWEEP-MATRIX TOTAL-SUM-OF-SQUARES WEIGHTS X X-MATRIX XTXINV Y
NIL
> (send out-one :group-sum-of-squares)
9.375
> (send out-one :total-sum-of-squares)
11.875
> (send out-one :residual-sum-of-squares)
2.5
> (+ 9.375 2.5)
11.875
>