A graphical user interface for variable selection employing the Successive Projections Algorithm

Chemometrics and Intelligent Laboratory Systems

Volumn 118, Issue , 2012, Pages 260-266

  Paiva, Henrique Mohallem ^a   Soares, Sófacles Figueredo Carreiro ^b   Galvão, Roberto Kawakami Harrop ^c   Araújo, Mário César Ugulino ^b  

^a Mectron Engenharia   (Brazil)

^b FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

^c INSTITUTO TECNOLÓGICO DE AERONÁUTICA   (Brazil)

Author keywords

Graphical user interface; MATLAB; Multivariate calibration; Successive Projections Algorithm; Variable selection

Indexed keywords

ALGORITHM; ARTICLE; CALCULATION; CALIBRATION; COMPUTER INTERFACE; COMPUTER PROGRAM; CORRELATION COEFFICIENT; DATA PROCESSING; MAIZE; MOISTURE; MULTIPLE LINEAR REGRESSION ANALYSIS; NEAR INFRARED SPECTROSCOPY; PREDICTION; PRIORITY JOURNAL; SAMPLE; STATISTICS; SUCCESSIVE PROJECTIONS ALGORITHM; VALIDATION PROCESS; VARIABLE SELECTION;

EID: 84868194589     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.05.014     Document Type: Article

References (19)

1. Araujo M.C.U., Saldanha T.C.B., Galvão R.K.H., Yoneyama T., Chame H.C., Visani V. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometrics and Intelligent Laboratory Systems 2001, 57:65-73.
2. Galvão R.K.H., Pimentel M.F., Araujo M.C.U., Yoneyama T., Visani V. Aspects of the successive projections algorithm for variable selection in multivariate calibration applied to plasma emission spectrometry. Analytica Chimica Acta 2001, 443:107-115.
3. Breitkreitz M.C., Raimundo I.M., Rohwedder J.J.R., Pasquini C., Dantas Filho H.A., José G.E., Araújo M.C.U. Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration. Analyst 2003, 128:1204-1207.
4. Pereira A.F.C., Pontes M.J.C., Gambarra Neto F.F., Santos S.R.B., Galvão R.K.H., Araújo M.C.U. NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection. Food Research International 2008, 41:341-348.
5. 2+ in Polivitaminic/Polimineral Drug Using SPA and GA Algorithms for Variable Selection. Journal of the Brazilian Chemical Society 2005, 16:58-61.
6. Di Nezio M.S., Pistonesi M.F., Fragoso W.D., Pontes M.J.C., Goicoechea H.C., Araujo M.C.U., Band B.S.F. Successive projections algorithm improving the multivariate simultaneous direct spectrophotometric determination of five phenolic compounds in sea water. Microchemical Journal 2007, 85:194-200.
7. Caneca A.R., Pimentel M.F., Galvão R.K.H., Matta C.E., Carvalho F.R., Raimundo I.M., Pasquini C., Rohwedder J.J.R. Assessment of infrared spectroscopy and multivariate techniques for monitoring the service condition of diesel-engine lubricating oils. Talanta 2006, 70:344-352.
8. Honorato F.A., Barros Neto B., Pimentel M.F., Stragevitch L., Galvão R.K.H. Using principal component analysis to find the best calibration settings for simultaneous spectroscopic determination of several gasoline properties. Fuel 2008, 87:3706-3709.
9. Otero R.L.S., Galvão R.K.H., Araújo M.C.U., Cavalheiro E.T.G. Thermogravimetric determination of L-ascorbic acid in non-effervescent formulations using multiple linear regression with temperature selection by the successive projections algorithm. Thermochimica Acta 2011, 526:200-204.
10. Pistonesi M.F., Di Nezio M.S., Centurión M.E., Lista A.G., Fragoso W.D., Pontes M.J.C., Araújo M.C.U., Band B.S.F. Simultaneous determination of hydroquinone, resorcinol, phenol, m-cresol and p-cresol in untreated air samples using spectrofluorimetry and a custom multiple linear regression-successive projection algorithm. Talanta 2010, 83:320-323.
11. Galvão R.K.H., Araújo M.C.U., Fragoso W.D., Silva E.C., José G.E., Soares S.F.C., Paiva H.M. A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm. Chemometrics and Intelligent Laboratory Systems 2008, 92:83-91.
12. Galvão R.K.H., Araújo M.C.U. Chemical and Biochemical Data Analysis. Compreehensive Chemometrics 2009, vol. 3:233-283. Elsevier, Oxford. B. Walczak, R. Tauler, S. Brown (Eds.).
13. Galvão R.K.H., Araújo M.C.U., Silva E.C., José G.E., Soares S.F.C., Paiva H.M. Cross-validation for the selection of spectral variables using the successive projections algorithm. Journal of the Brazilian Chemical Society 2007, 18:1580-1584.
14. MATLAB 2009, The Mathworks Inc., Natick, Massachusetts, USA.
15. Beebe K.R., Pell R.J., Seasholtz M.B. Chemometrics: A Practical Guide 1998, Wiley, New York.
16. Walczak B. Wavelets in Chemistry 2000, Elsevier Science, New York.
17. Cai C., Harrington P.B. Different discrete wavelet transforms applied to denoising analytical data. Journal of Chemical Information and Computer Sciences 1998, 38:1161-1170.
18. Kennard R.W., Stone L.A. Computer aided design of experiments. Technometrics 1969, 11:137-148.
19. Galvão R.K.H., Araujo M.C.U., José G.E., Pontes M.J.C., Silva E.C., Saldanha T.C.B. A method for calibration and validation subset partitioning. Talanta 2005, 67:736-740.