A Netlib LP problem, in lp/data.  For more information                    
send email to netlib@ornl.gov with the message:                           
                                                                          
	 send index from lp                                                      
	 send readme from lp/data                                                
                                                                          
The following are relevant excerpts from lp/data/readme (by David M. Gay):
                                                                          
The column and nonzero counts in the PROBLEM SUMMARY TABLE below exclude  
slack and surplus columns and the right-hand side vector, but include     
the cost row.  We have omitted other free rows and all but the first      
right-hand side vector, as noted below.  The byte count is for the        
MPS compressed file; it includes a newline character at the end of each   
line.  These files start with a blank initial line intended to prevent    
mail programs from discarding any of the data.  The BR column indicates   
whether a problem has bounds or ranges:  B stands for "has bounds", R     
for "has ranges".  The BOUND-TYPE TABLE below shows the bound types       
present in those problems that have bounds.                               
                                                                          
The optimal value is from MINOS version 5.3 (of Sept. 1988)               
running on a VAX with default options.                                    
                                                                          
                       PROBLEM SUMMARY TABLE                              
                                                                          
Name       Rows   Cols   Nonzeros    Bytes  BR      Optimal Value         
FIT2P      3001  13525    60784     439794  B     6.8464293232E+04        
                                                                          
        BOUND-TYPE TABLE                                                  
FIT2P      UP                                                             
                                                                          
Supplied by Bob Fourer.                                                   
                                                                          
Concerning FIT1D, FIT1P, FIT2D, FIT2P, Bob Fourer says                    
    The pairs FIT1P/FIT1D and FIT2P/FIT2D are primal and                  
    dual versions of the same two problems [except that we                
    have negated the cost coefficients of the dual problems               
    so all are minimization problems].  They originate from               
    a model for fitting linear inequalities to data, by                   
    minimization of a sum of piecewise-linear penalties.                  
    The FIT1 problems are based on 627 data points and 2-3                
    pieces per primal pl penalty term.  The FIT2 problems                 
    are based on 3000 data points (from a different sample                
    altogether) and 4-5 pieces per pl term.                               
                                                                          
Added to Netlib on  31 Jan. 1990