BookmarkSubscribeRSS Feed
achowdhu
Calcite | Level 5

data credit;

   input _id_ $ w1 w2 w3 e

   _type_ $ _rhs_;

   datalines;

object 0  0  0  1 min .

const1 24 2 0 -1 LE 100

const2 35 6 1 -1 LE 100

const3 40 4 1 -1 LE 100

const4 30 10 0 1 GE 100

const5 28 1 0 -1 LE 100

const6 50 5 1 -1 LE 100

const7 45 15 1 1 GE 100

const8 60 10 0 1 GE 100

const9 20 1 0 -1 LE 100

const10 25 5 1 1 GE 100

;

proc lp data=credit;

run;

1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

57 

58 data credit;

59 input _id_ $ w1 w2 w3 e

60 _type_ $ _rhs_;

61 datalines;

NOTE: Invalid data for w1 in line 63 8-16.

NOTE: Invalid data for w2 in line 63 18-19.

NOTE: Invalid data for e in line 64 1-6.

NOTE: Invalid data for _rhs_ in line 64 18-19.

RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0 

64 CHAR const2 35.6.1.-1 LE 100 

  ZONE 66677323303030232442333222222222222222222222222222222222222222222222222222222222

  NUMR 3FE34203596919D10C50100000000000000000000000000000000000000000000000000000000000

NOTE: Invalid data errors for file CARDS occurred outside the printed range.

NOTE: Increase available buffer lines with the INFILE n= option.

_id_=const1 w1=. w2=. w3=100 e=. _type_=3561- _rhs_=. _ERROR_=1 _N_=2

NOTE: Invalid data for w1 in line 65 8-16.

NOTE: Invalid data for w2 in line 65 18-19.

NOTE: Invalid data for e in line 66 1-6.

NOTE: Invalid data for _rhs_ in line 66 18-19.

66 CHAR const4 30.10.0.1 GE 100 

  ZONE 66677323303303032442333222222222222222222222222222222222222222222222222222222222

  NUMR 3FE34403091090910750100000000000000000000000000000000000000000000000000000000000

NOTE: Invalid data errors for file CARDS occurred outside the printed range.

NOTE: Increase available buffer lines with the INFILE n= option.

_id_=const3 w1=. w2=. w3=100 e=. _type_=30100 _rhs_=. _ERROR_=1 _N_=3

NOTE: Invalid data for w1 in line 67 8-16.

NOTE: Invalid data for w2 in line 67 18-19.

NOTE: Invalid data for e in line 68 1-6.

NOTE: Invalid data for _rhs_ in line 68 18-19.

68 CHAR const6 50.5.1.-1 LE 100 

  ZONE 66677323303030232442333222222222222222222222222222222222222222222222222222222222

  NUMR 3FE34605095919D10C50100000000000000000000000000000000000000000000000000000000000

NOTE: Invalid data errors for file CARDS occurred outside the printed range.

NOTE: Increase available buffer lines with the INFILE n= option.

_id_=const5 w1=. w2=. w3=100 e=. _type_=5051- _rhs_=. _ERROR_=1 _N_=4

NOTE: Invalid data for w1 in line 69 8-16.

NOTE: Invalid data for w2 in line 69 18-19.

NOTE: Invalid data for e in line 70 1-6.

NOTE: Invalid data for _rhs_ in line 70 18-19.

70 CHAR const8 60.10.0.1 GE 100 

  ZONE 66677323303303032442333222222222222222222222222222222222222222222222222222222222

  NUMR 3FE34806091090910750100000000000000000000000000000000000000000000000000000000000

NOTE: Invalid data errors for file CARDS occurred outside the printed range.

NOTE: Increase available buffer lines with the INFILE n= option.

_id_=const7 w1=. w2=. w3=100 e=. _type_=60100 _rhs_=. _ERROR_=1 _N_=5

NOTE: Invalid data for w1 in line 71 8-16.

NOTE: Invalid data for w2 in line 71 18-19.

NOTE: Invalid data for e in line 72 1-7.

NOTE: Invalid data for _rhs_ in line 72 18-19.

RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0 

72 CHAR const10 25.5.1.1 GE 100 

  ZONE 66677332330303032442333222222222222222222222222222222222222222222222222222222222

  NUMR 3FE34100259591910750100000000000000000000000000000000000000000000000000000000000

NOTE: Invalid data errors for file CARDS occurred outside the printed range.

NOTE: Increase available buffer lines with the INFILE n= option.

_id_=const9 w1=. w2=. w3=100 e=. _type_=25511 _rhs_=. _ERROR_=1 _N_=6

NOTE: SAS went to a new line when INPUT statement reached past the end of a line.

NOTE: The data set WORK.CREDIT has 6 observations and 7 variables.

NOTE: DATA statement used (Total process time):

  real time 0.01 seconds

  user cpu time 0.01 seconds

  system cpu time 0.00 seconds

  memory 497.50k

  OS Memory 28060.00k

  Timestamp 06/23/2015 03:12:05 AM

  Step Count 423 Switch Count 178

  Page Faults 0

  Page Reclaims 96

  Page Swaps 0

  Voluntary Context Switches 822

  Involuntary Context Switches 492

  Block Input Operations 0

  Block Output Operations 272

  

73 ;

74 

75 proc lp data=credit;

76 run;

ERROR: '3561-' is not a valid keyword for the 'TYPE' variable in observation 2. Valid keywords are: 'MAX', 'MIN' 'LE', 'EQ',

  'GE', 'UNRSTRCT', 'LOWERBD', 'UPPERBD', 'BASIC', 'PRICESEN', 'FREE', 'INTEGER', 'FIXED', 'BINARY', 'SOSEQ' and 'SOSLE'.

ERROR: '30100' is not a valid keyword for the 'TYPE' variable in observation 3. Valid keywords are: 'MAX', 'MIN' 'LE', 'EQ',

  'GE', 'UNRSTRCT', 'LOWERBD', 'UPPERBD', 'BASIC', 'PRICESEN', 'FREE', 'INTEGER', 'FIXED', 'BINARY', 'SOSEQ' and 'SOSLE'.

ERROR: '5051-' is not a valid keyword for the 'TYPE' variable in observation 4. Valid keywords are: 'MAX', 'MIN' 'LE', 'EQ',

  'GE', 'UNRSTRCT', 'LOWERBD', 'UPPERBD', 'BASIC', 'PRICESEN', 'FREE', 'INTEGER', 'FIXED', 'BINARY', 'SOSEQ' and 'SOSLE'.

ERROR: '60100' is not a valid keyword for the 'TYPE' variable in observation 5. Valid keywords are: 'MAX', 'MIN' 'LE', 'EQ',

  'GE', 'UNRSTRCT', 'LOWERBD', 'UPPERBD', 'BASIC', 'PRICESEN', 'FREE', 'INTEGER', 'FIXED', 'BINARY', 'SOSEQ' and 'SOSLE'.

ERROR: '25511' is not a valid keyword for the 'TYPE' variable in observation 6. Valid keywords are: 'MAX', 'MIN' 'LE', 'EQ',

  'GE', 'UNRSTRCT', 'LOWERBD', 'UPPERBD', 'BASIC', 'PRICESEN', 'FREE', 'INTEGER', 'FIXED', 'BINARY', 'SOSEQ' and 'SOSLE'.

ERROR: A semantic error has been detected. Perhaps you have a model specified in the sparse format and have not used the correct

  option. The dense model format is assumed by default. The SPARSEDATA option is needed for models using the sparse format.

NOTE: The SAS System stopped processing this step because of errors.

NOTE: There were 6 observations read from the data set WORK.CREDIT.

NOTE: PROCEDURE LP used (Total process time):

  real time 0.00 seconds

  user cpu time 0.00 seconds

  system cpu time 0.00 seconds

  memory 1437.43k

  OS Memory 29100.00k

  Timestamp 06/23/2015 03:12:05 AM

  Step Count 424 Switch Count 50

  Page Faults 0

  Page Reclaims 176

  Page Swaps 0

  Voluntary Context Switches 182

  Involuntary Context Switches 109

  Block Input Operations 0

  Block Output Operations 1056

  

77 

78 

79 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;

91 

3 REPLIES 3
ballardw
Super User

Its a good idea to actually ask your question(s).

You have data problems as the invalid data notes:

35.6.1.-1

on line 64 of your data. There are multiple decimal points for what is being read as a number. Also .-1 is invalid and needs a space before the '-' You may have meant

35 6.1 -1

Similar for other lines.

Because the program was trying to 35.6.1.-1 as ONE value as there were no spaces, then the other columns were read out of order causing some of your data to be in the wrong variable. And since the _type_ variable for Proc LP is restricted to certain keywords the values you ended up with from reading the data such as 3561- caused the errors.

Fix your input data by insuring there are spaces between all of your values.

Also on this forum please ask a question in a single topic area. If it is in the wrong place then the moderators may move it or a suggestion as to a specific forum may be made.

achowdhu
Calcite | Level 5

Thanks

RobPratt
SAS Super FREQ

Questions about linear programming are more suitable for the Mathematical Optimization, Discrete-Event Simulation, and OR community.  Also, note that PROC LP is a legacy procedure no longer under active development.  PROC OPTMODEL is recommended instead.  See this SAS Global Forum paper:

http://support.sas.com/resources/papers/proceedings11/200-2011.pdf

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 3 replies
  • 1186 views
  • 0 likes
  • 3 in conversation