References
- 1. Schweiger, C.A. & Rudd, J.B. (1994). Prediction and control of paper machine using adaptive technologies in process modeling. TAPPI J. 77(11), 201-208.
- 2. Abdi, H. (2007). Partial Least Square Regression (PLS- -Regression). Encyclopedia of Measurement and Statistics. Thousand Oaks, USA.
- 3. Bjorkstrom, A. (2007). Regression methods and their interconnections. Technical report, Stockholm University, Sweden.
- 4. Farshadfar, E. (2007). Basis and Methods of Multivariate Statistics (2end ed.). Taghbostan Press, Razi university.
- 5. Fridén, H. & Tano, K. (2005). Using PLS models with both controlled and uncontrolled X variables for” Waht if...” prediction. In The 9th Scandinavian Symposium on Chemometrics, Reykjavik, Iceland 2005-09-30. Ornsköldsvik: NPI.
- 6. Suwannarangsee, S., Bunterngsook, B., Arnthong, J., Paemanee, A., Thamchaipenet, A., Eurwilaichitr, L. & Champreda, V. (2012). Optimisation of synergistic biomass-degrading enzyme systems for effi cient rice straw hydrolysis using an experimental mixture design. Bioresource Technol. 119, 252-261.
- 7. Kallioinen, M., Huuhilo, T., Reinikainen, S.P., Nuortila- -Jokinen, J. & Mänttäri, M. (2006). Examination of membrane performance with multivariate methods: A case study within a pulp and paper mill fi ltration application. Chemometr Intell. Lab. 84(1), 98-105.
- 8. Lahtinen, K. & Kuuipalo, J. (2008). Statistical prediction model for water vapour barrier of extrusion-coated paper. TAPPI J. 9(2008), 8-15.
- 9. Mercangoz, M. & Doyle, F.J. (2006). Model-based control in the pulp and paper industry. Control Systems, Ieee. 26(4), 30-39. DOI: 10.1109/MCS.2006.1657874.
- 10. Broderick, G., Paris, J., Valade, J.L. & Wood, J. (1995). Applying latent vector analysis to pulp characterization. PAP Puu-Pup Tim. 77(6/7), 410-418.
- 11. Broderick, G., Paris, J., Valade, J.L. & Wood, J. (1996). Linking the fi ber characteristics and handsheet properties of a high-yield pulp. TAPPI J. 79(1), 161-169.
- 12. Grage, H. (2004). A statistical analysis of data from the production line at the Munksund paper mill. Technical report, Lund Institute of Technology, Sweden.
- 13. Nordstrom, F., Lindstrom, T. & Holst, J. (2005). Statistical models for on-line monitoring quality properties. Technical report, Lund Institute of Technology.
- 14. Ortiz-Cordova, M.H.A., Orccotoma, J.B.J. & Begin, B.P.J. (2006). MATHEMATICAL MODELS-Analysis of paper strength variability in an integrated newsprint mill. Pulp Pap- -Canada. 107(10), 37-43.
- 15. Wold, S. (1995). PLS for multivariate linear modeling. Chemometric methods in molecular design 2, 195-218.
- 16. Van der Voet, H. (1994). Comparing the Predictive Accuracy of Models Using a Simple Randomization Test. Chemometr Intell. Lab. 25, 313-323.
- 17. Jones, G.L. (1993). Modeling a corrugating-medium paper machine for improved edgewise compressive strength, TAPPI J. 76(7), 122-129.