01
                            IMPROPER ORDER CODES

   The order codes you have entered are incorrect. If you have retained k
   number of variables, the order codes must range from 0 to p = k-1. A
   second type of error arises by inadvertently assigning the same order
   code to two or more variables. It is possible to have both types of error
   present. 

   Enter the order codes with care.
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02
                              INPUT DATA ERROR

   There is an error in the first two records of your input data file.
   Remember, the very first line of your file is reserved for a 'Header'
   description. The first line MUST have at least one non-blank character
   and it must have 80 or fewer characters.

   The second data line (it can be preceeded by one or more blank lines)
   MUST contain the number of cases, the number of variables, and the
   letter R or S in that order. Each of these three 'values' must be sepa-
   rate by at least one blank character.
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03
                               INPUT DATA ERROR

   Your input data file is improperly constructed. The likely error is that
   you do not have the correct number of data values for one or more cases.
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04
                       MATCHING INPUT AND OUTPUT FILE NAMES

     You have entered the name of an INPUT file and have given the same
     name to an OUTPUT file. This is not allowed in the SPPC since it
     would result in the destruction of your input data.

     You must provide a different name for your OUTPUT file.
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05
                            NON-EXISTENT INPUT FILE

    You have attempted to access a file that cannot be found on the input
    device that you indicated. Check to make sure that your data medium
    (diskette or hard disk) is properly referenced and that you have used
    the correct input file name.
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06
                                  ACCESSED FILE

     You have accessed and read the file that was indicated to you. If that
     is the file you wish to use, press the letter y or Y. If the file that
     was accessed and read is not the one you wish to use, press n or  N and
     then enter the file that you wish to use.
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07
                                TOO MANY VARIABLES

   This version of the SPPC System will allow you to use a raw data file that
   has a maximum of 200 variables. You have entered a file that contains more
   than 200 variables. The remedy is to reduce the number of variables in the
   input file.
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08
                              VARIABLE NAMES ERROR

   Your input data file does not have the proper number of variable names.
   This problem could arise because one or more variable names exceed 15
   characters.
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09
                               REORDERING VARIABLES

    You may reorder the variables that have been read into the program. This
    is sometimes necessary in order to insure that the dependent variable is
    properly identified or to rearrange the independent variables for the
    conduct of some type of ordered analysis.

    When the variable names are displayed to you, it is essential that the
    dependent variable be given an "order code" of zero (0). It is also
    essential that each independent variable be given a distinct order code
    from 1 to p where p is the total number of independent variables.

    For each variable, enter an "order" code and then press <cr>.
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10
                             I N S T R U C T I O N S

    You will now be asked to enter the "order codes" for each of the
    variables. The variable that you wish to be treated as the dependent
    variable MUST be given an order code of 0. The remaining variables
    will be treated as independent variables. Each must be given an order
    code of 1 to p where p is the number of independent variables.

    As each variable name is presented to you, enter an order code and
    and then press <cr>.
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11
                              IMPROPER INPUT FILE

   You have attempted to input a file other than a 'raw' data file. You 
   most likely attempted to input a 'summary' data file. Check to make sure
   that you are using the proper file type.
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12
                               SELECTING VARIABLES

    You must identify those variables that you want to RETAIN for analysis.
    If you do not wish to delete any variables, press 'n' or 'N'. If you
    want to delete one or more variables, press 'y' or 'Y'.

    If you indicate that you do not want to retain all of the variables, each
    variable name will then be presented to you. You must then indicate, for
    each variable, whether it is to be retained.
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13
                              TOO MANY VARIABLES

   The number of variables in your input data file exceeds the number that
   this procedure will accept. You will be given an opportunity to retain
   the proper number of variables without having to revise your input data
   file.
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14
                            CONTINUATION DATA FILES

   If you have stored a lengthy set of data in two or more files that have
   different names, you may now provide information about the next continu-
   ation file. You may sequentially input as many continuation files as you
   wish.

   In order to use such continuation files, it is ESSENTIAL that they each
   have exactly the same format or structure. While each may have a different
   number of 'cases', each MUST have the same number of variables in the same
   order and possessing the same names.
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15
                      CAUTION: POSSIBLE FILE DESTRUCTION

   There currently exists a file that has the same name as that which you
   designated to be your "output" file. If you do not want the existing file
   to be destroyed, respond by pressing 'n' or 'N' to the query. If you 
   answer by pressing 'y' or 'Y' the currently existing named file will be
   overwritten.

   There will be no further warning.
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16
                          OUTPUT FILE HEADER STATEMENT

   The header statement that you have just written will be placed as the first
   line on your output file. This header MUST consist of at least one non-
   blank character. You should supply a header message that will inform you
   of the contents of the file.

   If you wish to change the header message you have written, press 'n' or 'N'
   and the program will allow you to enter a new header message. If you wish
   to retain the header message you have written, press 'y' or 'Y'.
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17
                            INSERT DATA DISKETTE

   The diskette containing your input data, or the diskette on which you wish
   to store your output data, should be inserted into the disk drive that you
   wish to use. Insert your data diskette at this time if it is not currently
   in place.
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18
                       M E N U    A S S I S T A N C E

      You may choose one of the options shown in the menu by pressing
      one of the capitalized letters. You may press either a lower or
      upper case letter.
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19
                              IMPROPER INPUT FILE

   You have attempted to input a file other than a 'summary' data file. You 
   most likely attempted to input a 'raw' data file. Check to make sure that
   you are using the proper file type.
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20
                                 SINGULAR MATRIX

    The correlation matrix for your independent variables is singular, it has
    no inverse, the determinant equals 0.0, and a final solution cannot be
    obtained. You may remedy this problem by deleting a variable. You will be
    told which is the offending variable.

    This is a fatal error and the program will terminate. Please note the
    information given when you press the space bar.
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21
                              DATA DELTION OPTIONS

   If you choose the "Listwise deletion" option, detection of a missing
   value for any variable will result in discarding the entire "case" or
   record for purposes of statistical computation.

   If you choose the "Pairwise deletion" option, detection of a missing
   value for a variable will result in discarding only that variable for
   the specific "case" or record for purposes of statistical computation.

   The "Pairwise deletion" option tends to preserve more cases but at the
   risk of producing misleading or erroneous statistics. The "Listwise
   option" sacrifices more cases but produces more reliable results.
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22
                     ORDERED SETS OF INDEPENDENT VARIABLES

   If you elect this option, your ordered independent variables will be
   organized into sets of variables. You will then obtain effect sizes 
   and F-ratios for each set of variables.
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23
