[Step 1] To specify what you are interested in, select the appropriate option
   from those available in the 'aim' group box (see also the 'What is the
   Rundom BC 1.0' tab).

[Step 2] To tune the selected procedure, you must fill six edit fields (just 
   below the <How to...> and <Enforce lambda...> buttons). 
   How to do this depends on the aim selected.
   (To enforce the lambda value upon the algorithm, click the <Enforce lambda>
    button and enter desired value.)
>the aim = normality only/single sample
              ('single-sample case' check box checked)
   no. of samples/sample in var = sample in var ... (eg 1)
   start value = lower limit of the range of lambda values (eg -3)
   end value = upper limit of the range of lambda values (eg 3)
   step value = self-explaining (eg 0,001 or 0.001 [if you are from the USA])
   transformed data to var = self-explaining (eg 2)
   round transformed data to ... decimal places = self-explaining (eg 3)
>the aim = normality only/more than one sample
               ('single-sample case' check box not checked)
   no. of samples/sample in var = no. of samples (eg 3), 1st always in var1,
                                          other samples in adjacent columns!
   start value = lower limit of the range of lambda values (eg -3)
   end value = upper limit of the range of lambda values (eg 3)
   step value = self-explaining (eg 0,001 or 0.001 [if you are from the USA])
   transformed data to var = the 1st of the columns to receive transformed
                                           values (eg 4)
   round transformed data to ... decimal places = self-explaining (eg 3)
>the aim = normality and homogeneity of variances
   (as above)
>the aim = linearity...
   no. of samples/sample in var = always set to 2 (=two samples)
                                                   X always in var1, Y always in var2   
   start value = lower limit of the range of lambda values (eg -3)
   end value = upper limit of the range of lambda values (eg 3)
   step value = self-explaining (eg 0,001 or 0.001 [if you are from the USA])
   transformed data to var = where the transformed X values will be sent (eg 3)
   round transformed data to ... decimal places = self-explaining (eg 3)

[Step 3, optional] To show the plot of L (or r - in case of linearity) values against 
   lambda values, check the 'show graph...' check box. The shape of a curve 
   plotted  may help to decide whether the range of lambda values taken into
   consideration is sufficiently wide.

[Step 4] To run the procedure, click the <Run> button. The results will
   appear in the report window situated just below that button.

Other options (for example, data export/import) are available via the main
menu and are self-explaining.

