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```

"Model" 1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
y-60
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
=a+b*x;

"Input" 5*[x,y];

Stack space overflow    (message)

Rerun of job :  1
```
```

"Model" 1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(1+(
y-60
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
)  )  )  )  )  )  )  )  )  )  )  )  )  )  )
=a+b*x;

"Input" 5*[x,y];
```
```Control information
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

a                          1.000000                 0.000000                 1.000000                 1.000000
b                          5.000000                 3.162278                 1.000000                 9.000000
dep.var.                   6.200000                 3.492850                 2.000000                11.000000

Number of observations :    5

Multiple correlation coefficient     0.995893    (adjusted   0.994521)
================================

Proportion of variation explained    0.991803    (adjusted   0.989071)
=================================

Standard deviation of the error term              0.365148
====================================
```
```Regression parameters
=====================
right  tail
parameter                 estimate           standard deviation              F - ratio              probability

a                      0.7000000000             0.3316624790                 4.454545                 0.125298

b                      1.1000000000             0.0577350269               363.000000                 0.000316

Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total               5              241.000000

---------------------------------------------------------------------------------------------------------------

mean                1              192.200000            192.200000           1441.500000              0.000040
regression          1               48.400000             48.400000            363.000000              0.000316
residual            3                0.400000              0.133333

---------------------------------------------------------------------------------------------------------------

regression null hypothesis :  b = 0

End of job :  1
```