Factor Analysis
Data Base

Mathematics and Methodology

1. S.S. Chae and W.D. Warde "Effect of using principal coordinates and principal components on retrieval of clusters" Computational Statistics & Data Analysis 50, 6, 1407-1417 (2006)
2. V. Choulakian "L₁-norm projection pursuit principal component analysis " Computational Statistics & Data Analysis 50, 6, 1441-1451 (2006)
3. H. Gao, T. Li, K. Chen and S. Lin "A novel approach of initial vectors construction in iterative target transformation factor analysis" Talanta 68, 3, 542-548 (2006)
4. Jan de Leeuw "Principal component analysis of binary data by iterated singular value decomposition" Computational Statistics & Data Analysis 50, 1, 21-39 (2006)
5. P.R.C. Nelson, J.F. MacGregor and P.A. Taylor "The impact of missing measurements on PCA and PLS prediction and monitoring applications" Chemometrics and Intelligent Laboratory Systems 80, 1, 1-12 (2006)
6. D. Peña and P. Poncela "Nonstationary dynamic factor analysis" Journal of Statistical Planning and Inference 136, 4, 1237-1257 (2006)
7. D. Zhang, Z-H. Zhou and S. Chen "Diagonal principal component analysis for face recognition" Pattern Recognition 39, 1, 140-142 (2006)

1. N.M. Al-Kandari and I.T. Jolliffe "Variable selection and interpretation in correlation principal components" Environmetrics 16, 6, 659-672 (2005)
2. K.A. Baldwin, M.S. Grinslade, L.C. Baer, P. Watts, M.K. Dinger, and J. McCubbin "Higher-order factor analysis of an instrument with dichotomous data" Research in Nursing and Health 28, 5, 431-440 (2005)
3. A.S. Barros and D.N. Rutledge "Segmented principal component transform-principal component analysis" Chemometrics and Intelligent Laboratory Systems 78, 1-2, 125-137 (2005)
4. S. Chen and T. Sun "Class-information-incorporated principal component analysis" Neurocomputing 69, 1-3, 216-223 (2005)
5. W. Chen, M.J. Er, and S. Wu "PCA and LDA in DCT domain" Pattern Recognition Letters 26, 15, 2474-2482 (2005)
6. V. Choulakian "Transposition invariant principal component analysis in L₁ for long tailed data" Statistics & Probability Letters 71, 1, 23-31 (2006)
7. P. Ciosek, Z. Brzózka, W. Wróblewski, E. Martinelli, C. Di Natale and A. D'Amico "Direct and two-stage data analysis procedures based on PCA, PLS-DA and ANN for ISE-based electronic tongue-Effect of supervised feature extraction" Talanta 67, 3, 590-596 (2005)
8. J. Coste, S. Bouée, E. Ecosse, A. Leplège and J. Pouchot "Methodological issues in determining the dimensionality of composite health measures using principal component analysis: Case illustration and suggestions for practice" Quality of Life Research 14, 3, 641-654 (2005)
9. C. Garcia-Osorio and C. Fyfe "Regaining sparsity in kernel principal components" Neurocomputing 67, 398-402 (2005)
10. S. Girard and S. Iovleff "Auto-associative models and generalized principal component analysis" Journal of Multivariate Analysis 93, 1, 21-39 (2005)
11. N.F. Güler and S. Kocer "Classification of EMG Signals Using PCA and FFT" Journal of Medical Systems 29, 3, 241-250 (2005)
12. F. Husson, S. Le and J. Pagès "Confidence ellipse for the sensory profiles obtained by principal component analysis" Food Quality and Preference 16, 3, 245-250 (2005)
13. A. de Juan, M. Maeder, T. Hancewicz and R. Tauler "Local rank analysis for exploratory spectroscopic image analysis. Fixed Size Image Window-Evolving Factor Analysis" Chemometrics and Intelligent Laboratory Systems 77, 1-2, 64-74 (2005)
14. N. Katsumata and Y. Matsuyama "Database retrieval for similar images using ICA and PCA bases" Engineering Applications of Artificial Intelligence 18, 6, 705-717 (2005)
15. N. Kettaneh, A. Berglund and S. Wold "PCA and PLS with very large data sets" Computational Statistics & Data Analysis 48, 1, 69-85 (2005)
16. H. Kong, L. Wang, E.K. Teoh, X. Li, J-G. Wang and R. Venkateswarlu "Generalized 2D principal component analysis for face image representation and recognition" Neural Networks 18, 5-6, 585-594 (2005)
17. M. Knott "A measure of independence for a multivariate normal distribution and some connections with factor analysis" Journal of Multivariate Analysis 96, 2, 374-383 (2005)
18. N. Lehmann "Principal components selection given extensively many variables" Statistics & Probability Letters 74, 1, 51-58 (2005)
19. Z. Liu, D. Chen, and H. Bensmail "Gene expression data classification with Kernel principal component analysis" Journal of Biomedicine and Biotechnology 2005, 2, 155-159 (2005)
20. K. Meyer and M. Kirkpatrick "Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices" Genetic Selection Evolution 37, 1, 1-30 (2005)
21. K. Nishino, S.K. Nayar and T. Jebara "Clustered blockwise PCA for representing visual data" IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 10, 1675-1679 (2005)
22. B.P. O'Connor "Graphical analyses of personality disorders in five-factor model space" European Journal of Personality 19, 4, 287-305 (2005)
23. J. Pagès and F. Husson "Multiple factor analysis with confidence ellipses: a methodology to study the relationships between sensory and instrumental data" Journal of Chemometrics 19, 3, 138-144 (2005)
24. P.R. Peres-Neto, D.A. Jackson and K.M. Somers "How many principal components? Stopping rules for determining the number of non-trivial axes revisited" Computational Statistics & Data Analysis 49, 4, 974-997 (2005)
25. G. Sanguinetti, M. Milo, M. Rattray and N.D. Lawrence "Accounting for probe-level noise in principal component analysis of microarray data" Bioinformatics 21, 19, 3748-3754 (2005)
26. C. Sarbu and H.F. Pop "Principal component analysis versus fuzzy principal component analysis. A case study: the quality of danube water (1985-1996)" Talanta 65, 5, 1215-1220 (2005)
27. A. Saucier "Construction of data-adaptive orthogonal wavelet bases with an extension of principal component analysis" Applied and Computational Harmonic Analysis 18, 3, 300-328 (2005)
28. M. Scholz, F. Kaplan, C.L. Guy, J. Kopka and J. Selbig "Non-linear PCA: a missing data approach" Bioinformatics 21, 20, 3887-3895 (2005)
29. M. Schuermans, I. Markovsky, P.D. Wentzell and S. Van Huffel "On the equivalence between total least squares and maximum likelihood PCA" Analytica Chimica Acta 544, 1-2, 254-267 (2005)
30. M. Sengel and H. Bischof "Efficient representation of in-plane rotation within a PCA framework" Image and Vision Computing 23, 12, 1051-1059 (2005)
31. T. Voegtlin "Recursive principal components analysis" Neural Networks 18, 8, 1051-1063 (2005)
32. L. Vega-Montoto, H. Gu, and P.D. Wentzell "Mathematical improvements to maximum likelihood parallel factor analysis: theory and simulations" Journal of Chemometrics 19, 4, 216-235 (2005)
33. L. Vega-Montoto and P.D. Wentzell "Mathematical improvements to maximum likelihood parallel factor analysis: experimental studies" Journal of Chemometrics 19, 4, 236-252 (2005)
34. R. Vidal, Y. Ma and S. Sastry "Generalized principal component analysis (GPCA)" IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 12, 1945-1959 (2005)
35. D. Wang and J.A. Romagnoli "Robust multi-scale principal components analysis with applications to process monitoring" Journal of Process Control 15, 8, 869-882 (2005)
36. A-M. Yan, G. Kerschen, P. De Boe and J-C. Golinval "Structural damage diagnosis under varying environmental conditions-part II: local PCA for non-linear cases" Mechanical Systems and Signal Processing 19, 4, 865-880 (2005)
37. Z. Yi, M. Ye, J.C. Lv and K.K. Tan "Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm" IEEE Transactions on Neural Networks 16, 6, 1318-1328 (2005)
38. D. Zhang and Z-H. Zhou "(2D)²PCA: Two-directional two-dimensional PCA for efficient face representation and recognition" Neurocomputing 69, 1-3, 224-231 (2005)
39. X. Zhu, J. Ye and X. Zhang "A fixed-point nonlinear PCA algorithm for blind source separation" Neurocomputing 69, 1-3, 264-272 (2005)

1. A.S. Barros and D.N. Rutledge "Principal components transform-partial least squares: a novel method to accelerate cross-validation in PLS regression" Chemometrics and Intelligent Laboratory Systems 73, 2, 245-255 (2004)
2. Y. Bengio, O. Delalleau, N. Le Roux, J-F. Paiement, P. Vincent, and M. Ouimet "Learning Eigenfunctions Links Spectral Embedding and Kernel PCA" Neural Computation 16, 10, 2197-2219 (2004)
3. J. Cadima, J.O. Cerdeira and M. Minhoto "Computational aspects of algorithms for variable selection in the context of principal components" Computational Statistics and Data Analysis 47, 2, 225-236 (2004)
4. Y.H. Chan "Biostatistics 302. Principal component and factor analysis" Singapore Medical Journal 45, 12, 558-566 (2004)
5. P. D'Urso and P. Giordani "A least squares approach to principal component analysis for interval valued data" Chemometrics and Intelligent Laboratory Systems 70, 2, 179-192 (2004)
6. C. Ding and X. He "Cluster Structure of K-means Clustering via Principal Component Analysis" In: "Advances in Knowledge Discovery and Data Mining": 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. Proceedings, Eds.: H. Dai, R. Srikant and C. Zhang. Lecture Notes in Computer Science 3056, 414-418 (2004)
7. S.P. Ellis "Instability of statistical factor analysis" Proceedings of the American Mathematical Society 132, 6, 1805-1822 (2004)
8. D.B. Flora and P.J. Curran "An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data" Psychological Methods 9, 4, 466-491 (2004)
9. M. Forni, M. Hallin, M. Lippi and L. Reichlin "The generalized dynamic factor model consistency and rates" Journal of Econometrics 119, 2, 231-255 (2004)
10. P. Giordani and H.A.L. Kiers "Principal Component Analysis of symmetric fuzzy data" Computational Statistics and Data Analysis 45, 3, 519-548 (2004)
11. D.M. Golden-Kreutz, M.W. Browne, G.M. Frierson, and B.L. Andersen "Assessing Stress in Cancer Patients: A Second-Order Factor Analysis Model for the Perceived Stress Scale" Assessment 11, 3, 216-223 (2004)
12. G.K. Gupta "Principal Component Analysis and Bayesian Classifier Based Character Recognition" AIP Conference Proceedings 707, 465-479 (2004)
13. M. Hubert and S. Engelen "Robust PCA and classification in biosciences" Bioinformatics 20, 11, 1728-1736 (2004)
14. T. Jebara "Kernelizing Sorting, Permutation, and Alignment for Minimum Volume PCA" In: "Learning Theory", 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004. Proceedings, Eds.: J. Shawe-Taylor and Y. Singer, Lecture Notes in Computer Science 3120, 609-623 (2004)
15. Z. Jin, F. Davoine and Z. Lou "An Effective EM Algorithm for PCA Mixture Model" In: "Structural, Syntactic, and Statistical Pattern Recognition", Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004. Proceedings, Eds.: A. Fred, T. Caelli, R.P.W. Duin, et al., Lecture Notes in Computer Science 3138, 626-634 (2004)
16. D. Joye "Factor analysis and methodological choices: Replay to Freitag" Swiss Political Science Review 10, 2, 119-131 (2004)
17. B.J. Kim and I.K. Kim "Incremental Nonlinear PCA for Classification " In: "Incremental Nonlinear PCA for Classification", 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings, Eds.: J-F. Boulicaut, F. Esposito, F. Giannotti, et al., Lecture Notes in Computer Science 3202, 291-300 (2004)
18. O. Kursun and O.V. Favorov "SINBAD automation of scientific discovery: From factor analysis to theory synthesis" Natural Computing 3, 2, 207-233 (2004)
19. I.G. Lautre and E.A. Fernández "A methodology for measuring latent variables based on multiple factor analysis" Computational Statistics and Data Analysis 45, 3, 505-517 (2004)
20. S. Ledauphin, M. Hanafi and E.M. Qannari "Simplification and signification of principal components" Chemometrics and Intelligent Laboratory Systems 74, 2, 277-281 (2004)
21. J-M. Lee, C.K. Yoo, S.W. Choi, P.A. Vanrolleghem and I-B. Lee "Nonlinear process monitoring using kernel principal component analysis" Chemical Engineering Science 59, 1, 223-234 (2004)
22. M.N. Leger and P.D. Wentzell "Maximum likelihood principal components regression on wavelet-compressed data" Applied Spectroscopy 58, 7, 855-862 (2004)
23. L. Leydesdorff "Top-down decomposition of the Journal Citation Report of the Social Science Citation Index: Graph- and factor-analytical approaches" Scientometrics 60, 2, 159-180 (2004)
24. J. Liu, S. Chen and Z-H. Zhou "Progressive Principal Component Analysis" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo. Lecture Notes in Computer Science 3173, 1, 768-773 (2004)
25. R. Möller and H. Hoffmann "An extension of neural gas to local PCA" Neurocomputing 62, 305-326 (2004)
26. R. Moller and A. Konies "Coupled principal component analysis" IEEE Transactions Neural Networks 15, 1, 214-222 (2004)
27. H. Ogasawara "Asymptotic biases of the unrotated/rotated solutions in principal component analysis" British Journal of Mathematical and Statistical Psychology 57, 2, 353-376 (2004)
28. A.C. Olivieri and N.M. Faber "Standard error of prediction in parallel factor analysis of three-way data" Chemometrics and Intelligent Laboratory Systems 70, 1, 75-82 (2004)
29. J.W. Osborne and A.B. Costello "Sample size and subject to item ratio in principal components analysis" Practical Assessment, Research and Evaluation 9, 11 (2004)
30. M.D. Plumbley and E. Oja "A "nonnegative PCA" algorithm for independent component analysis" IEEE Transactions Neural Networks 15, 1, 66-76 (2004)
31. H-J. Ramaker, E.N.M. van Sprang, J.A. Westerhuis and A.K. Smilde "The effect of the size of the training set and number of principal components on the false alarm rate in statistical process monitoring" Chemometrics and Intelligent Laboratory Systems 73, 2, 181-187 (2004)
32. R. Saegusa, H. Sakano and S. Hashimoto "Nonlinear principal component analysis to preserve the order of principal components" Neurocomputing 61, 57-70 (2004)
33. J. Song and T.R. Belin "Imputation for incomplete high-dimensional multivariate normal data using a common factor model" Statistics in Medicine 23, 18, 2827-2843 (2004)
34. I. Stanimirova, B. Walczak, D.L. Massart and V. Simeonov "A comparison between two robust PCA algorithms" Chemometrics and Intelligent Laboratory Systems 71, 1, 83-95 (2004)
35. H-Q. Wang, D-S. Huang, X-M. Zhao and X. Huang "A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns" In: "Advances in Neural Networks - ISNN 2004": International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I, Eds.: F. Yin, J. Wang, and C. Guo, Lecture Notes in Computer Science 3174, 2, 476-481 (2004)
36. L. Zwald, O. Bousquet and G. Blanchard "Statistical Properties of Kernel Principal Component Analysis" In: "Learning Theory", 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004. Proceedings, Eds.: J. Shawe-Taylor and Y. Singer, Lecture Notes in Computer Science 3120, 594-608 (2004)

1. J. Bai "Inferential Theory for Factor Models of Large Dimensions" Econometrica 71, 1, 135-171 (2003)
2. J-H. Ahn and J-H. Oh "A Constrained EM Algorithm for Principal Component Analysis" Neural Computation 15, 1, 57-65 (2003)
3. M.R. Alves and M.B. Oliveira "Interpolative biplots applied to principal component analysis and canonical correlation analysis" Journal of Chemometrics 17, 11, 594-602 (2003)
4. C.M. Andersen and R. Bro "Practical aspects of PARAFAC modeling of fluorescence excitation-emission data" Journal of Chemometrics 17, 4, 200-215 (2003)
5. R.J. Bolton, D.J. Hand and A.R. Webb "Projection techniques for nonlinear principal component analysis" Statistics and Computing 13, 3, 267-276 (2003)
6. M.H. Brill "A non-PC look at principal components" Color Research & Application 28, 1, 69-71 (2003)
7. R. Bro and H.A.L. Kiers "A new efficient method for determining the number of components in PARAFAC models" Journal of Chemometrics 17, 5, 274-286 (2003)
8. Y-Z. Cao, H. Chen, H-L. Wu and R-Q. Yu "An algorithm for three-way data analysis that alternatively minimizes coupled vector (COV) resolution error and PARAFAC error" Analitical Sciences 19, 5, 753-756 (2003)
9. Y-M. Cheung and L. Xu "Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm" Neurocomputing 50, 1, 87-103 (2003)
10. W.F. Christensen and Y. Amemiya "Modeling and prediction for multivariate spatial factor analysis" Journal of Statistical Planning and Inference 115, 2, 543-564 (2003)
11. S. Le Dien and J. Pagés "Hierarchical Multiple Factor Analysis: application to the comparison of sensory profiles" Food Quality and Preference 14, 5-6, 397-403 (2003)
12. N.M. Faber, R. Bro and P.K. Hopke "Recent developments in CANDECOMP/PARAFAC algorithms: a critical review" Chemometrics and Intelligent Laboratory Systems 65, 1, 119-137 (2003)
13. M.R. Fengler, W.K. Härdle and C. Villa "The Dynamics of Implied Volatilities: A Common Principal Components Approach" Review of Derivatives Research 6, 3, 179-202 (2003)
14. J. Graffelman and T. Aluja-Banet "Optimal Representation of Supplementary Variables in Biplots from Principal Component Analysis and Correspondence Analysis" Biometrical Journal 45, 4, 491-509 (2003)
15. S.P. Gurden, E.M. Lage, C.G. de Faria, I. Joekes and M.M.C. Ferreira "Analysis of video images from a gas-liquid transfer experiment: a comparison of PCA and PARAFAC for multivariate image analysis" Journal of Chemometrics 17, 7, 400-412 (2003)
16. R.A. Harshman, S. Hong and M.E. Lundy "Shifted factor analysis - Part I: Models and properties" Journal of Chemometrics 17, 7, 363-378 (2003)
17. S. Hong and R.A. Harshman "Shifted factor analysis - Part II: Algorithms" Journal of Chemometrics 17, 7, 379-388 (2003)
18. S. Hong and R.A. Harshman "Shifted factor analysis - Part III: N-way generalization and application" Journal of Chemometrics 17, 7, 389-399 (2003)
19. M. Hörnquist, J. Hertz and M. Wahde "Effective dimensionality for principal component analysis of time series expression data" Biosystems 71, 3, 311-317 (2003)
20. D.C. Hoyle and M. Rattray "PCA learning for sparse high-dimensional data" Europhysics Letters 62, 1, 117-123 (2003)
21. Ding Hui, Liu Jun-hua and Shen Zhong-ru "Drift reduction of gas sensor by wavelet and principal component analysis" Sensors and Actuators B 96, 1-2, 354-363 (2003)
22. A.M. Jade, B. Srikanth, V.K. Jayaraman, B.D. Kulkarni, J.P. Jog and L. Priya "Feature extraction and denoising using kernel PCA" Chemical Engineering Science 58, 19, 4441-4448 (2003)
23. D. Kim and I-B. Lee "Process monitoring based on probabilistic PCA" Chemometrics and Intelligent Laboratory Systems 67, 2, 109-123 (2003)
24. O. Langsrud, and T. Naes "Optimised score plot by principal components of predictions" Chemometrics and Intelligent Laboratory Systems 68, 1-2, 61-74 (2003)
25. C.B. Lee, M.S. Kim and H.R. Park "Automatic Summarization Based on Principal Component Analysis" In: "Progress in Artificial Intelligence", Lecture Notes in Computer Science 2902, 409-413 (2003)
26. J-M. Lee, C-K Yoo and I-B. Lee "On-line batch process monitoring using a consecutively updated multiway principal component analysis model" Computers & Chemical Engineering 27, 12, 1903-1912 (2003)
27. S-Y. Lee and L. Xu "Case-Deletion Diagnostics for Factor Analysis Models With Continuous and Ordinal Categorical Data" Sociological Methods & Research 31, 3, 389-419 (2003)
28. S-C. Lewin-Koh and Y. Amemiya "Heteroscedastic factor analysis" Biometrika 90, 1, 85-97 (2003)
29. R.X. Liu, J. Kuang, Q. Gong and X.L. Hou "Principal component regression analysis with SPSS" Computer Methods and Programs in Biomedicine 71, 2, 141-147 (2003)
30. Z-Y. Liu and L. Xu "Topological local principal component analysis" Neurocomputing 55, 3-4, 739-745 (2003)
31. X. Meng, A.J. Morris and E.B. Martin "On-line monitoring of batch processes using a PARAFAC representation" Journal of Chemometrics 17, 1, 65-81 (2003)
32. P. Moqvist and T.M. Aulin "Orthogonalization by principal components applied to CPM" IEEE Transactions on Communications 51, 11, 1838-1845 (2003)
33. S. Oba, M. Sato and S. Ishii "Variational Bayes method for Mixture of Principal Component Analyzers" Systems and Computers in Japan 34, 11, 55-66 (2003)
34. P. Paatero and P.K. Hopke "Discarding or downweighting high-noise variables in factor analytic models" Analytica Chimica Acta 490, 1-2, 277-289 (2003)
35. L.E. Peterson "Partitioning large-sample microarray-based gene expression profiles using principal components analysis" Computer Methods and Programs in Biomedicine 70, 2, 107-119 (2003)
36. G. Pison, P.J. Rousseeuw, P. Filzmoser and C. Croux "Robust factor analysis" Journal of Multivariate Analysis 84, 1, 145-172 (2003)
37. K.J. Preacher and R.C. MacCallum "Repairing Tom Swift's Electric Factor Analysis Machine" Understanding Statistics 2, 1, 13-43 (2003)
38. J. Riu and R. Bro "Jack-knife technique for outlier detection and estimation of standard errors in PARAFAC models" Chemometrics and Intelligent Laboratory Systems 65, 1, 35-49 (2003)
39. M.A. Rothenberger, K.J. Dooley, U.R. Kulkarni and N. Nada "Strategies for Software Reuse: A Principal Component Analysis of Reuse Practices" IEEE Transactions on Software Engineering 29, 9, 825-837 (2003)
40. M. Salvador, J.L. Gallizo and P. Gargallo "A dynamic principal components analysis based on multivariate matrix normal dynamic linear models" Journal of Forecasting 22, 6-7, 457-478 (2003)
41. J.R. Schott "Weighted chi-squared tests for partial common principal component subspaces" Biometrika 90, 2, 411-421 (2003)
42. Y. Tanaka and K. Uehara "Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle" Lecture Notes in Computer Science 2734, 252-265 (2003)
43. Y. Tanaka, F. Zhang and Y. Mori "Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited" Computational Statistics & Data Analysis 44, 1-2, 143-160 (2003)
44. A. Tsymbal, M. Pechenizkiy, S. Puuronen and D.W. Patterson "Dynamic Integration of Classifiers in the Space of Principal Components" In: "Advances in Databases and Information Systems", Lecture Notes in Computer Science 2798, 278-292 (2003)
45. C.J. Twining and C.J. Taylor "The use of kernel principal component analysis to model data distributions" Pattern Recognition 36, 1, 217-227 (2003)
46. L. Vega-Montoto and P.D. Wentzell "Maximum likelihood parallel factor analysis (MLPARAFAC)" Journal of Chemometrics 17, 4, 237-253 (2003)
47. F. Wang and M.M. Wall "Generalized common spatial factor model" Biostatistics 4, 4, 569-582 (2003)
48. Z. Wang, Y. Lee, S. Fiori, C-S. Leung and Y-S. Zhu "An improved sequential method for principal component analysis" Pattern Recognition Letters 24, 9-10, 1419-1425 (2003)
49. A. Weingessel and K. Hornik "A robust subspace algorithm for principal component analysis" International Journal of Neural Systems 13, 5, 307-313 (2003)
50. J. Weng, Y. Zhang and W-S. Hwang "A Fast Algorithm for Incremental Principal Component Analysis" In: "Intelligent Data Engineering and Automated Learning", Lecture Notes in Computer Science 2690, 876-881 (2003)
51. J. Weng, Y. Zhang and W-S. Hwang "Candid Covariance-Free Incremental Principal Component Analysis" IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 8, 1034-1040 (2003)
52. P.D. Wentzell and L. Vega Montoto "Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures" Chemometrics and Intelligent Laboratory Systems 65, 2, 257-279 (2003)
53. W. Wu, Q. Guo, D.L. Massart, C. Boucon and S. de Jong "Structure preserving feature selection in PARAFAC using a genetic algorithm and Procrustes analysis" Chemometrics and Intelligent Laboratory Systems 65, 1, 83-95 (2003)
54. D. Xie, S.B. Singh, E.M. Fluder and T. Schlick "Principal component analysis combined with truncated-Newton minimization for dimensionality reduction of chemical databases" Mathematical Programming 95, 1, 161-185 (2003)
55. C-J. Xu, Y-Z. Liang, Y. Li and Y-P. Du "Chemical rank estimation by noise perturbation in functional principal component analysis" Analyst 128, 1, 75-81 (2003)
56. X. Yu, D. Gong, S. Li and Y. Xu "Evaluation of a Combined Wavelet and a Combined Principal Component Analysis Classification System for BCG Diagnostic Problem" In: "Knowledge-Based Intelligent Information and Engineering Systems", 7th International Conference, KES 2003 Oxford, UK, September 3-5, 2003 Proceedings, Part I , Lecture Notes in Computer Science 2773, 646-652 (2003)
57. M.H. Zhang, Q.S. Xu and D.L. Massart "Robust principal components regression based on principal sensitivity vectors" Chemometrics and Intelligent Laboratory Systems 67, 2, 175-185 (2003)
58. A.F. Zuur, R.J. Fryer, I.T. Jolliffe, R. Dekker and J.J. Beukema "Estimating common trends in multivariate time series using dynamic factor analysis" Environmetrics 14, 7, 665-685 (2003)

1. E. Adams, B. Walczak, C. Vervaet, P.G. Risha and D.L. Massart "Principal component analysis of dissolution data with missing elements" International Journal of Pharmaceutics 234, 1-2, 169-178 (2002)
2. J. Bai and Serena Ng "Determining the Number of Factors in Approximate Factor Models" Econometrica 70, 1, 191-221 (2002)
3. M. Bilodeau and P. Duchesne "Principal Component Analysis from the Multivariate Familial Correlation Matrix" Journal of Multivariate Analysis 82, 2, 457-470 (2002)
4. G. Boente, A.M. Pires and I.M. Rodrigues "Influence functions and outlier detection under the common principal components model: A robust approach" Biometrika 89, 4, 861-875 (2002)
5. K.A. Bollen and J.C. Biesanz "A Note on a Two-Stage Least Squares Estimator for Higher-Order Factor Analyses" Sociological Methods & Research 30, 4, 568-579 (2002)
6. P.L. Brockett, R.A. Derrig, L.L. Golden, A. Levine and M. Alpert "Fraud Classification Using Principal Component Analysis of RIDITs" Journal of Risk & Insurance 69, 3, 341-371 (2002)
7. W. Buntine "Variational Extensions to EM and Multinomial PCA" In: "Machine Learning: ECML 2002", 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings, Eds.: T. Elomaa, H. Mannila and H. Toivonen, Lecture Notes in Computer Science 2430, 23-34 (2002)
8. M.W-L. Cheung and W. Chan "Reducing Uniform Response Bias With Ipsative Measurement in Multiple-Group Confirmatory Factor Analysis" Structural Equation Modeling 9, 1, 55-77 (2002)
9. M-S. Cho and K-J. Kim "Indirect input identification in multi-source environments by principal component analysis" Mechanical Systems and Signal Processing 16, 5, 873-883 (2002)
10. B.H. Cohen "Calculating a Factorial ANOVA From Means and Standard Deviations" Understanding Statistics 1, 3, 191-203 (2002)
11. T.R. Cundari, C. Sarbu and H.F. Pop "Robust fuzzy principal component analysis (FPCA). A comparative study concerning interaction of carbon-hydrogen bonds with molybdenum-oxo bonds" Journal of Chemical Information and Computer Sciences 42, 6, 1363-1369 (2002)
12. C. Ding, Xiaofeng He, H. Zha and H. Simon "Unsupervised Learning: Self-aggregation in Scaled Principal Component Space" In: "Principles of Data Mining and Knowledge Discovery", 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002. Proceedings, Eds.: T. Elomaa, H. Mannila and H. Toivonen, Lecture Notes in Computer Science 2431, 112-124 (2002)
13. C. DiStefano "The Impact of Categorization With Confirmatory Factor Analysis" Structural Equation Modeling 9, 3, 327-346 (2002)
14. J. R. Guerci and J. S. Bergin "Principal Components, Covariance Matrix Tapers, and the Subspace Leakage Problem" IEEE Transactions on Aerospace and Electronic Systems 38, 1, 152-162 (2002)
15. K. Hayashi and P.K. Sen "Bias-Corrected Estimator Of Factor Loadings In Bayesian Factor Analysis" Educational and Psychological Measurement 62, 6, 944-959 (2002)
16. Y. Vander Heyden, V. Pravdova, F. Questier, L. Tallieu, A. Scott and D.L. Massart "Parallel co-ordinate geometry and principal component analysis for the interpretation of large multi-response experimental designs" Analytica Chimica Acta 462, 2, 397-415 (2002)
17. M. Hubert, P.J. Rousseeuw and S. Verboven "A fast method for robust principal components with applications to chemometrics" Chemometrics and Intelligent Laboratory Systems 60, 1-2, 101-111 (2002)
18. P.S. Huggins and S.W. Zucker "Representing Edge Models via Local Principal Component Analysis" In: Computer Vision - ECCV 2002, Eds: A. Heyden, G. Sparr, M. Nielsen, P. Johansen (Lecture Notes in Computer Science 2350), 384-398 (2002)
19. Q. Guo, W. Wu, D.L. Massart, C. Boucon and S. de Jong "Feature selection in principal component analysis of analytical data" Chemometrics and Intelligent Laboratory Systems 61, 1-2, 123-132 (2002)
20. M. Ichikawa and S. Konishi "Asymptotic Expansions and Bootstrap Approximations in Factor Analysis" Journal of Multivariate Analysis 81, 1, 47-66 (2002)
21. G. Kerschen and J-C. Golinval "Non linear generalization of principal component analysis: from a global to a local approach" Journal of Sound and Vibration 254, 5, 867-876 (2002)
22. R. Kosfeld "Influence diagnostics for principal factor analysis" Allgemeines Statistisches Archiv 86, 4, 427-446 (2002)
23. G. Langs, H. Bischof and W.G. Kropatsch "Hierarchical Top Down Enhancement of Robust PCA" In: "Structural, Syntactic, and Statistical Pattern Recognition", Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002. Proceedings, Eds.: T. Caelli, A. Amin, R.P.W. Duin, M. Kamel and D. de Ridder , Lecture Notes in Computer Science 2396, 234-242 (2002)
24. A. Levin and A. Shashua "Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces" In: Computer Vision - ECCV 2002, Eds: A. Heyden, G. Sparr, M. Nielsen, P. Johansen (Lecture Notes in Computer Science 2352), 635-650 (2002)
25. B. Li, E.B. Martin and A.J. Morris "On principal component analysis in L₁" Computational Statistics & Data Analysis 40, 3, 471-474 (2002)
26. A. Liu, Y. Zhang, E. Gehan and R. Clarke "Block principal component analysis with application to gene microarray data classification" Statistics in Medicine 21, 22, 3465-3474 (2002)
27. I. Magrin-Chagnolleau, G. Durou and F. Bimbot "Application of time-frequency principal component analysis to text-independent speaker identification" IEEE Transactions on Speech and Audio Processing 10, 6, 371-378 (2002)
28. R.A. McDonald, C.F. Seifert, S.J. Lorenzet, S. Givens and J. Jaccard "The Effectiveness of Methods for Analyzing Multivariate Factorial Data" Organizational Research Methods 5, 3, 255-274 (2002)
29. M.N. Nounou, B.R. Bakshi, P.K. Goel and X. Shen "Bayesian principal component analysis" Journal of Chemometrics 16, 11, 576-595 (2002)
30. P. Paatero, P.K. Hopke, X-H. Song and Z. Ramadan "Understanding and controlling rotations in factor analytic models" Chemometrics and Intelligent Laboratory Systems 60, 1-2, 253-264 (2002)
31. H.S. Park, R. Dailey and D. Lemus "The Use of Exploratory Factor Analysis and Principal Components Analysis in Communication Research" Human Communication Research 28, 4, 562-577 (2002)
32. L.E. Peterson "Factor analysis of cluster-specific gene expression levels from cDNA microarrays" Computer Methods and Programs in Biomedicine 69, 3, 179-188 (2002)
33. L.E. Peterson "CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles" Genome Biology 3, 7, software0002.1-0002.8 (2002)
34. N.S. Raju, L.J. Laffitte and B.M. Byrne "Measurement Equivalence - A Comparison of Methods Based on Confirmatory Factor Analysis and Item Response Theory" Journal of Applied Psychology 87, 3, 517-529 (2002)
35. M.M. Reis and M.M.C. Ferreira "PARAFAC with splines: a case study" Journal of Chemometrics 16, 8-10, 444-450 (2002)
36. J-D. Rolle "Notes about the last principal component" Applied Mathematics and Computation 126, 2-3, 231-241 (2002)
37. A.-V.I. Rosti and M.J.F. Gales "Factor analysed hidden Markov models" IEEE Proceedings on Acoustics, Speech, and Signal Processing, ICASSP '02 - IEEE International Conference 1, I-949- I-952 (2002)
38. D.W. Russell "In Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin" Personality and Social Psychology Bulletin 28, 12, 1629-1646 (2002)
39. F. Sainfort "Editorial: The Use of Factor Analysis Techniques" Medical Decision Making 22, 5, 451-452 (2002)
40. K.G. Sapnas and R.A. Zeller "Minimizing Sample Size When Using Exploratory Factor Analysis for Measurement" Journal of Nursing Measurement 10, 2, 135-154 (2002)
41. A. Saucier and J. Muller "Using principal component analysis to enhance the generalized multifractal analysis approach to textural segmentation: Theory and application to microresistivity well logs" Physica A: Statistical Mechanics and its Applications 309, 3-4, 419-444 (2002)
42. A.P.D. Silva "Discarding Variables in a Principal Component Analysis: Algorithms for All-Subsets Comparisons" Computational Statistics 17, 2, 251-271 (2002)
43. A. Sitek, G.T. Gullberg and R.H. Huesman "Correction for ambiguous solutions in factor analysis using a penalized least squares objective" IEEE Transactions Medical Imaging 21, 3, 216-225 (2002)
44. Xin-Yuan Song and Sik-Yum Lee "A Bayesian Approach for Multigroup Nonlinear Factor Analysis" Structural Equation Modeling 9, 4, 523-553 (2002)
45. L. Xu "Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection" IEEE Proceedings on Neural Networks, IJCNN '02 - The 2002 International Joint Conference, 472-476 (2002)
46. M. Tanaka "Mixture of Probabilistic Factor Analysis Model and Its Applications" In: Artificial Neural Networks - ICANN 2001, Eds: G. Dorffner, H. Bischof, K. Hornik (Lecture Notes in Computer Science) 2130, 183-188 (2001)
47. C. Tolmasky and D. Hindanov "Principal components analysis for correlated curves and seasonal commodities: The case of the petroleum market" Journal of Futures Markets 22, 11, 1019-1035 (2002)
48. J. Wang and S.J. Qin "A new subspace identification approach based on principal component analysis" Journal of Process Control 12, 8, 841-855 (2002)
49. J.J. Verbeek, N. Vlassis and B. Kröse "Coordinating Principal Component Analyzers" In: "Artificial Neural Networks - ICANN 2002", International Conference, Madrid, Spain, August 28-30, 2002. Proceedings, Ed.: J.R. Dorronsoro, Lecture Notes in Computer Science 2415, 914-919 (2002)
50. F. Vogt and M. Tacke "Fast principal component analysis of large data sets based on information extraction" Journal of Chemometrics 16, 11, 562-575 (2002)
51. C.K.I. Williams "On a Connection between Kernel PCA and Metric Multidimensional Scaling" Machine Learning 46, 1-3, 11-19 (2002)
52. C.M. Woods "Factor Analysis of Scales Composed of Binary Items: Illustration with the Maudsley Obsessional Compulsive Inventory" Journal of Psychopathology and Behavioral Assessment 24, 4, 215-223 (2002)
53. Zhong-Liang Zhu, Wen-Zhi Cheng and Yi Zhao "Iterative target transformation factor analysis for the resolution of kinetic–spectral data with an unknown kinetic model" Chemometrics and Intelligent Laboratory Systems 64, 2, 157-167 (2002)
54. Zhong-Liang Zhu, Jun Xia, Jiang Zhang and Tong-Hua Li "Determination of rate constants from two-way kinetic-spectral data by using rank annihilation factor analysis" Analytica Chimica Acta 454, 1, 21-30 (2002)
55. B.J.H. Zijlstra and H.A.L. Kiers "Degenerate solutions obtained from several variants of factor analysis" Journal of Chemometrics 16, 11, 596-605 (2002)

1. S. Bermejo and J. Cabestany "Oriented principal component analysis for large margin classifiers" Neural Networks 14, 10,1447-1461 (2001)
2. M. Biehl, C. Bunzmann and R. Urbanczik "Training multilayer perceptrons by principal component analysis" Physica A: Statistical Mechanics and its Applications 302, 1-4, 56-63 (2001)
3. M.G. Borgognone, J. Bussi and G. Hough "Principal component analysis in sensory analysis: covariance or correlation matrix?" Food Quality and Preference 12, 5-7, 323-326 (2001)
4. M.W. Browne "An Overview of Analytic Rotation in Exploratory Factor Analysis" Multivariate Behavioral Research 36, 1, 111-150 (2001)
5. R. Cancelliere and M. Gai "On the approximation error introduced using principal component analysis in neural networks" Nonlinear Analysis 47, 9, 5785-5794 (2001)
6. http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V0Y-443K1MR-6&_coverDate=08%2F31%2F2001&_alid=0&_rdoc=1&_fmt=summary&_orig=search&_qd=1&_cdi=5659&_sort=d&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=f97eec9779f7e6c0f09286269d4885d9> M.J.J.M. Candel "Recovering the Metric Structure in Ordinal Data: Linear Versus Nonlinear Principal Components Analysis" Quality and Quantity 35, 1, 91-105 (2001)
7. Ph. Casin "A generalization of principal component analysis to K sets of variables" Computational Statistics & Data Analysis 35, 4, 417-428 (2001)
8. Z-P. Chen, Z. Liu, Y-Z. Cao and R-Q. Yu "Efficient way to estimate the optimum number of factors for trilinear decomposition" Analytica Chimica Acta 444, 2, 295-307 (2001)
9. C. Chennubhotla and A. Jepson "Sparse PCA. Extracting multi-scale structure from data" IEEE Proceedings on Computer Vision, ICCV - Eighth IEEE International Conference, 1, 641-647 (2001)
10. O.S. Chernyshenko, S. Stark and K.Y. Chan "Investigating the Hierarchical Factor Structure of the Fifth Edition of the 16PF: An Application of the Schmid-Leiman Orthogonalization Procedure" Educational and Psychological Measurement 61, 2, 290-302 (2001)
11. V. Choulakian "Robust Q-mode principal component analysis in L₁" Computational Statistics & Data Analysis 37, 2, 135-150 (2001)
12. B.K. Dable and K.S. Booksh "Selecting significant factors by the noise addition method in principal component analysis" Journal of Chemometrics 15, 7, 591-613 (2001)
13. D.B. Dunson and S.D. Perreault "Factor analytic models of clustered multivariate data with informative censoring" Biometrics 57, 1, 302-308 (2001)
14. P.J. Ferrando and U. Lorenzo-Seva "Fitting the Normal-Ogive Factor Analytic Model to Scores on Tests" Multivariate Behavioral Research 36, 3, 445-469 (2001)
15. X. Giannakopoulos and H. Valpola "Nonlinear dynamical factor analysis" AIP Conference Proceedings 568, 1, 305-317 (2001)
16. A. Giuliani, M. Colafranceschi, C.L. Webber, Jr. and J.P. Zbilut "A complexity score derived from principal components analysis of nonlinear order measures" Physica A: Statistical Mechanics and its Applications 301, 1-4, 567-588 (2001)
17. E.C. Grunsky "A program for computing RQ-mode principal components analysis for S-PLUS and R" Computers & Geosciences 27, 2, 229-235 (2001)
18. H. Gu and W.K. Fung "Influence Diagnostics in Common Principal Components Analysis" Journal of Multivariate Analysis 79, 2, 275-294 (2001)
19. S.J. Guastello and B.R. Bock "Attractor Reconstruction with Principal Components Analysis: Application to Work Flows in Hierarchical Organizations" Nonlinear Dynamics, Psychology, and Life Sciences 5, 2, 175-191 (2001)
20. M.B. Gulmezoglu, V. Dzhafarov and A. Barkana "The common vector approach and its relation to principal component analysis" IEEE Transactions on Speech and Audio Processing 9, 6, 655-662 (2001)
21. K. Honda, N. Sugiura, H. Ichihashi and S. Araki "Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering" In: Web Intelligence: Research and Development, Eds: N. Zhong, Y. Yao, Liu, S. Ohsuga (Lecture Notes in Artificial Intellingence 2198), 394-402 (2001)
22. F. Huettmann and A. W. Diamond "Using PCA scores to classify species communities: an example for pelagic seabird distribution" Journal of Applied Statistics 28, 7, 843-853 (2001)
23. D.L. Jackson "Sample Size and Number of Parameter Estimates in Maximum Likelihood Confirmatory Factor Analysis: A Monte Carlo Investigation" Structural Equation Modeling 8, 2, 205-223 (2001)
24. I.M. Johnstone "On the distribution of the largest eigenvalue in principal components analysis" Annals of Statistics 29, 2, 295-327 (2001)
25. K.G. Jöreskog and I. Moustaki "Factor Analysis of Ordinal Variables: A Comparison of Three Approaches" Multivariate Behavioral Research 36, 3, 347-387 (2001)
26. W.A. Kamakura and M. Wedel "Exploratory Tobit Factor Analysis for Multivariate Censored Data" Multivariate Behavioral Research 36, 1, 53-82 (2001)
27. H. Kamiya and S. Eguchi "A Class of Robust Principal Component Vectors" Journal of Multivariate Analysis 77, 2, 239-269 (2001)
28. M. Kano, S. Hasebe, I. Hashimoto and H. Ohno "A new multivariate statistical process monitoring method using principal component analysis" Computers & Chemical Engineering 25, 7-8, 1103-1113 (2001)
29. H. Kargupta, W. Huang, K. Sivakumar and E. Johnson "Distributed Clustering Using Collective Principal Component Analysis" Knowledge and Information Systems 3, 4, 422-448 (2001)
30. M.Y. Kiang and A. Kumar "An Evaluation of Self-Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications" Information Systems Research 12, 2, 177-194 (2001)
31. G.H. Lubke, C.V. Dolan and H. Kelderman "Investigating Group Differences on Cognitive Tests Using Spearman's Hypothesis: An Evaluation of Jensen's Method" Multivariate Behavioral Research 36, 3, 299-324 (2001)
32. R.C. MacCallum, K.F. Widaman, K.J. Preacher and S. Hong "Sample Size in Factor Analysis: The Role of Model Error" Multivariate Behavioral Research 36, 4, 611-637 (2001)
33. E.R. Maguire "Software Review of MicroFACT 1.1, A Microcomputer Factor Analysis Program for Dichotomous and Ordered Polytomous Data and Mainframe Sized Problems" Structural Equation Modeling 8, 1, 150-156 (2001)
34. M.D. Maraun and N.T. Rossi "The Extra-Factor Phenomenon Revisited: Unidimensional Unfolding as Quadratic Factor Analysis" Applied Psychological Measurement 25, 1, 77-87 (2001)
35. A. Martinez, J. Riu and F.X. Rius "Multiple analytical method comparison using maximum livelihood principal component analysis and linear regression with errors in both axes" Analytica Chimica Acta 446, 1-2, 145-156 (2001)
36. A.M. Martinez and A.C. Kak "PCA versus LDA" IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 2, 228-233 (2001)
37. N. Maslovaty, A.E. Marshall and M.C. Alkin "Teachers' Perceptions Structured Through Facet Theory: Smallest Space Analysis Versus Factor Analysis" Educational and Psychological Measurement 61, 1, 71-84 (2001)
38. C. Mason, M. Maeder, and A. Whitson "Resolving Factor Analysis" Analytical Chemistry 73, 7, 1587-1594 (2001)
39. G. Meinrath and S. Lis "Quantitative resolution of spectroscopic systems using computer-assisted target factor analysis (CAT)" Fresenius' Journal of Analytical Chemistry 369, 2, 124-133 (2001)
40. R.E. Millsap "When Trivial Constraints Are Not Trivial: The Choice of Uniqueness Constraints in Confirmatory Factor Analysis" Structural Equation Modeling 8, 1, 1-17 (2001)
41. J. Pagès and M. Tenenhaus "Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements" Chemometrics and Intelligent Laboratory Systems 58, 2, 261-273 (2001)
42. R. Rosipal, M. Girolami, L.J. Trejo and A. Cichocki "Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression" Neural Computing & Applications 10, 3, 231 - 243 (2001)
43. V. Smídl, M. Kárný, M. Sámal, W. Backfrieder and Z. Szabo "Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data" In: Information Processing in Medical Imaging, Eds: M.F. Insana, R.M. Leahy (Lecture Notes in Computer Science 2082), 225-231 (2001)
44. Xin-Yuan Song and Sik-Yum Lee "Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations" British Journal of Mathematical and Statistical Psychology 54, 2, 237-263 (2001)
45. Y. Takane and M.A. Hunter "Constrained Principal Component Analysis: A Comprehensive Theory" Applicable Algebra in Engineering, Communication and Computing 12, 5, 391-419 (2001)
46. F. Vogt and M. Tacke "Fast principal component analysis of large data sets" Chemometrics and Intelligent Laboratory Systems 59, 1-2, 1-18 (2001)
47. A. Utsugi "Ensemble of Independent Factor Analyzers with Application to Natural Image Analysis" Neural Processing Letters 14, 1, 49-60 (2001)
48. A. Utsugi and T. Kumagai "Bayesian Analysis of Mixtures of Factor Analyzers" Neural Computation 13, 5, 993-1002 (2001)
49. A.C.M. Wong and J. Wu "Approximate Inference for the Factor Loading of a Simple Factor Analysis Model" Scandinavian Journal of Statistics 28, 2, 407-414 (2001)
50. I. Yalcin and Y. Amemiya "Nonlinear Factor Analysis as a Statistical Method" Statistical Science 16, 3, 275-294 (2001)

1. J. Antony "Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis" Quality and Reliability Engineering International 16, 1, 3-8 (2000)
2. G. Boente and R. Fraiman "Kernel-based functional principal components" Statistics & Probability Letters 48, 4, 335-345 (2000)
3. C.D. Brown and P.D. Wentzell "A modification to window target-testing factor analysis using a Gaussian window" Chemometrics and Intelligent Laboratory Systems 51, 1, 3-7 (2000)
4. Y-Z. Cao, Z-P. Chen, C-Y. Mo and R-Q. Yu "A PARAFAC algorithm using penalty diagonalization error (PDE) for three-way data array resolution" Analyst 125, 12, 2303-2310 (2000)
5. D. Charles and C. Fyfe "Kernel factor analysis with Varimax rotation" IEEE Proceedings on Neural Networks, IJCNN 2000, IEEE-INNS-ENNS International Joint Conference 3, 381-386 (2000)
6. Z-P. Chen, H-L. Wu, Y. Li and R-Q. Yu "Novel constrained PARAFAC algorithm for second-order linear calibration" Analytica Chimica Acta 423, 2, 187-196 (2000)
7. C. Croux and G. Haesbroeck "Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies" Biometrika 87, 3, 603-618 (2000)
8. U. Depczynski, V.J. Frost and K. Molt "Genetic algorithms applied to the selection of factors in principal component regression" Analytica Chimica Acta 420, 2, 217-227 (2000)
9. N.M. Faber "Caveat in abstract factor analysis-based pseudorank estimation" Analytica Chimica Acta 411, 1-2, 157-161 (2000)
10. M. Forni, M. Hallin, M. Lippi, and L. Reichlin "The Generalized Dynamic Factor Model: Identification and Estimation" Review Economics and Statistics 82, 4, 540-554 (2000)
11. K. Hayashi and P.M. Bentler "The asymptotic covariance matrix of maximum-likelihood estimates in factor analysis: the case of nearly singular matrix of estimates of unique variances" Linear Algebra and its Applications 321, 1-3, 153-173 (2000)
12. L.A. Hayduk and D.N. Glaser "Jiving the Four-Step, Waltzing Around Factor Analysis, and Other Serious Fun" Structural Equation Modeling 7, 1, 1-35 (2000)
13. J.L. Hernández-Pastora, V.S. Manko, J. Martín and E. Ruiz "A Note on the Factor Structure of Some Non-Rational Vacuum Metrics" General Relativity and Gravitation 32, 11, 2131-2139 (2000)
14. T. Iijima and Y. Aoki "Derivation of an exact solution on a principal component analysis for a set of root visual patterns" Systems and Computers in Japan 31, 8, 49-58 (2000)
15. G.M. James, T.J. Hastie and C.A. Sugar "Principal component models for sparse functional data" Biometrika 87, 3, 587-602 (2000)
16. W.A. Kamakura and M. Wedel "Factor Analysis and Missing Data" Journal of Marketing Research 37, 4, 490-498 (2000)
17. H. Kargupta, W. Huang, K. Sivakumar, B-H. Park and S. Wang "Collective Principal Component Analysis from Distributed, Heterogeneous Data" In: Principles of Data Mining and Knowledge Discovery, Eds: D.A. Zighed, J. Komorowski, and J. Žytkow (Lecture Notes in Artificial Intelligence 1910), 452-457 (2000)
18. C.N. Lauro and F. Palumbo "Principal component analysis of interval data: a symbolic data analysis approach" Computational Statistics 15, 1, 73-87 (2000)
19. Sik-Yum Lee and Jian-Qing Shi "Joint Bayesian Analysis of Factor Scores and Structural Parameters in the Factor Analysis Model" Annals of the Institute of Statistical Mathematics 52, 4, 722-736 (2000)
20. C. Linneberg and A. Höskuldsson "Combined principal component preprocessing and n-tuple neural networks for improved classification" Journal of Chemometrics 14, 5-6, 573-583 (2000)
21. C. Mate and R. Calderon "Exploring the characteristics of rotating electric machines with factor analysis" Journal of Applied Statistics 27, 8, 991-1006 (2000)
22. B.E. Neuenschwander and B.D. Flury "Common Principal Components for Dependent Random Vectors" Journal of Multivariate Analysis 75, 2, 163-183 (2000)
23. S. Nicole "Feedforward neural networks for principal components extraction" Computational Statistics & Data Analysis 33, 4, 425-437 (2000)
24. R. Nonell, S. Thió-Henestrosa and T. Aluja-Banet "Some alternatives for conditional principal component analysis" Applied Stochastic Models in Business and Industry 16, 2, 147-158 (2000)
25. P. Paatero "Construction and analysis of degenerate PARAFAC models" Journal of Chemometrics 14, 3, 285-299 (2000)
26. P. Paatero and S. Juntto "Determination of underlying components of a cyclical time series by means of two-way and three-way factor analytic techniques" Journal of Chemometrics 14, 3, 241-259 (2000)
27. M. Partridge and M. Jabri "Robust principal component analysis" IEEE Proceedings on Neural Networks for Signal Processing X, 2000 IEEE Signal Processing Society Workshop 1, 289-298 (2000)
28. R.A. Peterson "A Meta-Analysis of Variance Accounted for and Factor Loadings in Exploratory Factor Analysis" Marketing Letters 11, 3, 261-275 (2000)
29. S.J. Qin and R. Dunia "Determining the number of principal components for best reconstruction" Journal of Process Control 10, 2-3, 245-250 (2000)
30. V. Ravi, P.J. Reddy and H-J. Zimmermann "Pattern classification with principal component analysis and fuzzy rule bases" European Journal of Operational Research 126, 3, 526-533 (2000)
31. R.E. Schumacker and S.T. Beyerlein "Confirmatory Factor Analysis With Different Correlation Types and Estimation Methods" Structural Equation Modeling 7, 4, 629-636 (2000)
32. J. Sun "A note on principal component analysis for multi-dimensional data" Statistics & Probability Letters 46, 1, 69-73 (2000)
33. M.E. Timmerman and H.A. Kiers "Three-mode principal components analysis: choosing the numbers of components and sensitivity to local optima" British Journal of Mathematical and Statistical Psychology 53, 1, 1-16 (2000)
34. A. Weingessel and K. Hornik "Local PCA algorithms" IEEE Transactions on Neural Networks 11, 6, 1242-1250 (2000)

1. T.W. Anderson and P. Laake "Correction Note to "Exact and Approximate Distributions of the Maximum Likelihood Estimate in a Simple Factor Analysis Model"" Scandinavian Journal of Statistics 26, 3, 477-477 (1999)
2. C.A. Andersson and R. Henrion "A general algorithm for obtaining simple structure of core arrays in N-way PCA with application to fluorometric data" Computational Statistics and Data Analysis 31, 3, 255-278 (1999)
3. G.G. Andersson, B.K. Dable and K.S. Booksh "Weighted parallel factor analysis for calibration of HPLC-UV/Vis spectrometers in the presence of Beer's law deviations" Chemometrics and Intelligent Laboratory Systems 49, 2, 195-213 (1999)
4. H. Attias "Independent Factor Analysis" Neural Computation 11, 4, 803-851 (1999)
5. J.M.F. Ten Berge and H.A.L. Kiers "Simplicity of core arrays in three-way principal component analysis and the typical rank of p×q×2 arrays" Linear Algebra and its Applications 294, 1-3, 169-179 (1999)
6. Z-P. Chen, J-H. Jiang, Y. Li, H-L. Shen, Y-Z. Liag and R-Q. Yu "Smoothed window factor analysis" Analytica Chimica Acta 381, 2-3, 233-246 (1999)
7. J. Dehaene, M. Moonen and J. Vandewalle "Analysis of a class of continuous-time algorithms for principal component analysis and subspace tracking" IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46, 3, 364-372 (1999)
8. N.E. El Faouzi and P. Sarda "Rates of Convergence for Spline Estimates of Additive Principal Components" Journal of Multivariate Analysis 68, 1, 120-137 (1999)
9. V. Esposito and S. Balbi "A simultaneous non-symmetrical principal component analysis with a group structure" Applied Stochastic Models in Business and Industry 15, 4, 301-309 (1999)
10. R.W. Farebrother "A class of statistical estimators related to principal components" Linear Algebra and its Applications 289, 1-3, 121-126 (1999)
11. H.C. Goicoechea and A.C. Olivieri "Wavelength selection by net analyte signals calculated with multivariate factor-based hybrid linear analysis (HLA). A theoretical and experimental comparison with partial least-squares (PLS)" Analyst 124, 5, 725-731 (1999)
12. R. Henrion and C.A. Andersson "A new criterion for simple-structure transformations of core arrays in N-way principal components analysis" Chemometrics and Intelligent Laboratory Systems 47, 2, 189-204 (1999)
13. R.C. Henry, E.S. Park and C.H. Spiegelman "Comparing a new algorithm with the classic methods for estimating the number of factors" Chemometrics and Intelligent Laboratory Systems 48, 1, 91-97 (1999)
14. H. Hoijtink, G. Rooks and F.W. Wilmink "Confirmatory Factor Analysis of Items With a Dichotomous Response Format Using the Multidimensional Rasch Model" Psychological Methods 4, 3, 300-314 (1999)
15. S. Hong "Generating correlation matrices with model error for simulation studies in factor analysis: a combination of the Tucker-Koopman-Linn model and Wijsman's algorithm" Behavior Research Methods, Instruments, & Computers 31, 4, 727-730 (1999)
16. J.R. King and D.A. Jackson "Variable selection in large environmental data sets using principal components analysis" Environmetrics 10, 1, 67-77 (1999)
17. W.P. Krijnen "A note on the parameter set for factor analysis models" Linear Algebra and its Applications 289, 1-3, 261-266 (1999)
18. M.T. Lohnes, R.D. Guy and P.D. Wentzell "Window target-testing factor analysis: theory and application to the chromatographic analysis of complex mixtures with multiwavelength fluorescence detection" Analytica Chimica Acta 389, 1-3, 95-113 (1999)
19. R.C. MacCallum, K.F. Widaman, S. Zhang and S. Hong "Sample Size in Factor Analysis" Psychological Methods 4, 1, 84-99 (1999)
20. E.R. Malinowski "Abstract factor analysis of data with multiple sources of error and a modified Faber-Kowalski f-test" Journal of Chemometrics 13, 2, 69-81 (1999)
21. R. Manne, H. Shen and Y. Liang "Subwindow factor analysis" Chemometrics and Intelligent Laboratory Systems 45, 1-2, 171-176 (1999)
22. J.I. Marden "Some robust estimates of principal components" Statistics & Probability Letters 43, 4, 349-359 (1999)
23. F.A. Ocaña, A.M. Aguilera and M.J. Valderrama "Functional Principal Components Analysis by Choice of Norm" Journal of Multivariate Analysis 71, 2, 262-276 (1999)
24. T. Raykov and T.D. Little "A Note on Procrustean Rotation in Exploratory Factor Analysis: A Computer Intensive Approach to Goodness-of-Fit Evaluation" Educational and Psychological Measurement 59, 1, 47-57 (1999)
25. E. Schlösser, D. Saad and M. Biehl "Optimization of on-line principal component analysis" Journal of Physics A : Mathematical and General 32, 22, 4061-4067 (1999)
26. J.R. Schott "Partial common principal component subspaces" Biometrika 86, 4, 899-908 (1999)
27. S.E. Scullen "Using Confirmatory Factor Analysis of Correlated Uniquenesses to Estimate Method Variance in Multitrait-Multimethod Matrices" Organizational Research Methods 2, 3, 275-292 (1999)
28. L. Thalib, R.L. Kitching and M.I. Bhatti "Principal component analysis for grouped data - a case study" Environmetrics 10, 5, 565-574 (1999)
29. M.E. Tipping and C.M. Bishop "Mixtures of probabilistic principal component analyzers" Neural Computation 11, 2, 443-482 (1999)
30. Y. Tominaga "Comparative study of class data analysis with PCA-LDA, SIMCA, PLS, ANNs, and k-NN" Chemometrics and Intelligent Laboratory Systems 49, 1, 105-115 (1999)
31. J.A. Vargas-Guzmán, A.W. Warrick and D.E. Myers "Scale Effect on Principal Component Analysis for Vector Random Functions" Mathematical Geology 31, 6, 701-722 (1999)
32. A.R. Webb "A loss function approach to model selection in nonlinear principal components" Neural Networks 12, 2, 339-345 (1999)
33. P.D. Wentzell and M.T. Lohnes "Maximum likelihood principal component analysis with correlated measurement errors: theoretical and practical considerations" Chemometrics and Intelligent Laboratory Systems 45, 1-2, 65-85 (1999)
34. B.M. Wise, N.B. Gallagher, S.W. Butler, D.D. White Jr and G.G. Barna "A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process" Journal of Chemometrics 13, 3-4, 379-396 (1999)
35. Q. Xu and Y. Liang "On the equivalence of window factor analysis and orthogonal projection resolution" Chemometrics and Intelligent Laboratory Systems 45, 1-2, 335-338 (1999)
36. T-N. Yang and S.-D Wang "Robust algorithms for principal component analysis" Pattern Recognition Letters 20, 9, 927-933 (1999)
37. Hong-Tu Zhu and Sik-Yum Lee "Statistical analysis of nonlinear factor analysis models" British Journal of Mathematical and Statistical Psychology 52, 2, 225-242 (1999)

1. T.W. Anderson and P. Laake "Exact and Approximate Distributions of the Maximum Likelihood Estimate in a Simple Factor Analysis Model" Scandinavian Journal of Statistics 25, 1, 39-51 (1998)
2. A.S. Barros and D.N. Rutledge "Genetic algorithm applied to the selection of principal components" Chemometrics and Intelligent Laboratory Systems 40, 1, 65-81 (1998)
3. M. Biehl and E. Schlösser "The dynamics of on-line principal component analysis" Journal of Physics A : Mathematical and General 31, 5, L97-L103 (1998)
4. J.R. Carr "A Visual Basic program for principal components transformation of digital images" Computers & Geosciences 24, 3, 209-218 (1998)
5. M. Cave "Improvement of short-term precision in inductively coupled plasma atomic emission spectrometry by principal component analysis modelling" Journal of Analytical Atomic Spectrometry 13, 2, 125-129 (1998)
6. T. Chen, Y. Hua and W-Y. Yan "Global convergence of Oja's subspace algorithm for principal component extraction" IEEE Transactions on Neural Networks 9, 1, 58-67 (1998)
7. M.P. Fleck and M.C. Bourdel "[Method of simulation and choice of factors in the analysis of principal components]" Revista de Saude Publica 32, 3, 267-272 (1998)
8. S. Girard, B. Chalmond and J-M. Dinten "Position of Principal component analysis among Auto-associative composite models" Comptes Rendus de L'Académie des Sciences - Series I - Mathematics 326, 6, 763-768 (1998)
9. B. Grung and R. Manne "Missing values in principal component analysis" Chemometrics and Intelligent Laboratory Systems 42, 1-2, 125-139 (1998)
10. K. Hayashi and P. Kumar Sen "On Covariance Estimators of Factor Loadings in Factor Analysis" Journal of Multivariate Analysis 66, 1, 38-45 (1998)
11. R. Henrion "Simultaneous simplification of loading and core matrices in N-way PCA: application to chemometric data arrays" Fresenius' Journal of Analytical Chemistry 361, 1, 15-22 (1998)
12. P.K. Hopke, P. Paatero, H. Jia, R.T. Ross and R.A. Harshman "Three-way (PARAFAC) factor analysis: examination and comparison of alternative computational methods as applied to ill-conditioned data" Chemometrics and Intelligent Laboratory Systems 43, 1-2, 25-42 (1998)
13. J. Karhunen, P. Pajunen and E. Oja "The nonlinear PCA criterion in blind source separation: Relations with other approaches" Neurocomputing 22, 1-3, 5-20 (1998)
14. H.A.L. Kiers "Joint Orthomax Rotation of the Core and Component Matrices Resulting from Three-mode Principal Components Analysis" Journal of Classification 15, 2, 245-263 (1998)
15. H.A.L. Kiers "Three-way SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple structure" Computational Statistics & Data Analysis 28, 3, 307-324 (1998)
16. H.A.L. Kiers "A three-step algorithm for CANDECOMP/PARAFAC analysis of large data sets with multicollinearity" Journal of Chemometrics 12, 3, 155-171 (1998)
17. H.A.L. Kiers and A.K. Smilde "Constrained three-mode factor analysis as a tool for parameter estimation with second-order instrumental data" Journal of Chemometrics 12, 2, 125-147 (1998)
18. P. Korhonen and A. Siljamäki "Ordinal principal component analysis. Theory and an application" Computational Statistics & Data Analysis 26, 4, 411-424 (1998)
19. V.K.B. Kota and R. Sahu "Information entropy and number of principal components in shell model transition strength distributions" Physics Letters B 429, 1-2, 1-6 (1998)
20. D. Leibovici and R. Sabatier "A Singular Value Decomposition of a k-Way Array for a Principal Component Analysis of Multiway Data, PTA-k" Linear Algebra and its Applications 269, 307-329 (1998)
21. C. Liu and D.B. Rubin "Maximum likelihood estimation of factor analysis using the ECME algorithm with complete and incomplete data" Statistica Sinica 8, 3, 729-747 (1998)
22. M. Marth, D. Maier, J. Honerkamp, and M. Rapp "Using properties of random matrices for target factor analysis of sensor array data" Journal of Chemometrics 12, 4, 249-259 (1998)
23. M. Shevlin and J.N.V. Miles "Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis" Personality and Individual Differences 25, 1, 85-90 (1998)
24. J.P. Stitt, R.P. Gaumond, J.L. Frazier and F.E. Hanson "Action potential classifiers: a functional comparison of template matching, principal components analysis and an artificial neural network" Chemical Senses 23, 5, 531-539 (1998)
25. J.A. Westerhuis, T. Kourti and J.F. MacGregor "Analysis of multiblock and hierarchical PCA and PLS models" Journal of Chemometrics 12, 5, 301-321 (1998)
26. Joe Zhu "Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities" European Journal of Operational Research 111, 1, 50-61 (1998)

1. A.M. Aguilera, F.A. Ocaña and M.J. Valderrama "An approximated principal component prediction model for continuous-time stochastic processes" Applied Stochastic Models and Data Analysis 13, 2, 61-72 (1997)
2. D.T. Andrews and P.D. Wentzell "Applications of maximum likelihood principal component analysis: incomplete data sets and calibration transfer" Analytica Chimica Acta 350, 3, 341-352 (1997)
3. P.A. Bekker and J.M.F. ten Berge "Generic Global Indentification in Factor Analysis" Linear Algebra and its Applications 264, 1-3, 255-263 (1997)
4. R. Bro "PARAFAC. Tutorial and applications" Chemometrics and Intelligent Laboratory Systems 38, 2, 149-171 (1997)
5. K. Faber and B.R. Kowalski "Critical evaluation of two F-tests for selecting the number of factors in abstract factor analysis" Analytica Chimica Acta 337, 1, 57-71 (1997)
6. K. Faber and B.R. Kowalski "Modification of Malinowski's F-test for abstract factor analysis applied to the Quail Roost II data sets" Journal of Chemometrics 11, 1, 53-72 (1997)
7. P. Filzmoser "Finding structures of interest in a large data set using factor analysis" Austrian Journal of Statistics 26, 2, 27-34 (1997)
8. M. Girolami and C. Fyfe "Stochastic ICA contrast maximisation using OJA's nonlinear PCA algorithm" International Journal of Neural Systems 8, 5-6, 661-678 (1997)
9. C. Heij and W. Scherrer "System Identification by Dynamic Factor Models" SIAM Journal on Control and Optimization 35, 6, 1924-1951 (1997)
10. A.E. Hurley, T.A. Scandura, C.A. Schriesheim, M.T. Brannick, A. Seers, R.J. Vandenberg and L.J. Williams "Exploratory and confirmatory factor analysis: guidelines, issues, and alternatives" Journal of Organizational Behavior 18, 6, 667-683 (1997)
11. K.-M. Jung, G.K. Myung and C.K. Byung "Local influence in maximum likelihood factor analysis" Computational Statistics & Data Analysis 24, 4, 483-491 (1997)
12. N. Kambhatla and T.K. Leen "Dimension Reduction by Local Principal Component Analysis" Neural Computation 9, 7, 1493-1516 (1997)
13. H.A.L. Kiers and R.A. Harshman "Relating two proposed methods for speedup of algorithms for fitting two- and three-way principal component and related multilinear models" Chemometrics and Intelligent Laboratory Systems 36, 1, 31-40 (1997)
14. M.J. del Moral and M.J. Valderrama "A principal component approach to dynamic regression models" International Journal of Forecasting 13, 2, 237-244 (1997)
15. G. Moro, M. Lasagni, N. Rigamonti, U. Cosentino and D. Pitea "Critical review of the receptor model based on target transformation factor analysis" Chemosphere 35, 8, 1847-1865 (1997)
16. S.B. Morris and R.P. DeShon "Correcting Effect Sizes Computed From Factorial Analysis of Variance for Use in Meta-Analysis" Psychological Methods 2, 2, 192-199 (1997)
17. E. Oja "The nonlinear PCA learning rule in independent component analysis" Neurocomputing 17, 1, 25-45 (1997)
18. P. Paatero "Least squares formulation of robust non-negative factor analysis" Chemometrics and Intelligent Laboratory Systems 37, 1, 23-35 (1997)
19. P. Paatero "A weighted non-negative least squares algorithm for three-way 'PARAFAC' factor analysis" Chemometrics and Intelligent Laboratory Systems 38, 2, 223-242 (1997)
20. P. Pajunen and J. Karhunen "Least-squares methods for blind source separation based on nonlinear PCA" International Journal of Neural Systems 8, 5-6, 601-612 (1997)
21. W.S. Rayens and B.C. Mitchell "Two-factor degeneracies and a stabilization of PARAFAC" Chemometrics and Intelligent Laboratory Systems 38, 2, 173-181 (1997)
22. V.N. Reddy, W.M. Miller and M.L. Mavrovouniotis "Inverse-signal analysis with PCA" Chemometrics and Intelligent Laboratory Systems 36, 1, 17-30 (1997)
23. F.C. Sánchez, S.C. Rutan, M.D.G. García and D.L. Massart "Resolution of multicomponent overlapped peaks by the orthogonal projection approach, evolving factor analysis and window factor analysis" Chemometrics and Intelligent Laboratory Systems 36, 2, 153-164 (1997)
24. J.R. Schott "Asymptotics of eigenprojections of correlation matrices with some applications in principal components analysis" Biometrika 84, 3, 327-337 (1997)
25. L. Shi "Local influence in principal components analysis" Biometrika 84, 1, 175-186 (1997)
26. R. Todeschini "Data correlation, number of significant principal components and shape of molecules. The K correlation index" Analytica Chimica Acta 348, 1-3, 419-430 (1997)
27. F.H. Walkey "Composite variable analysis: a simple and transparent alternative to factor analysis" Personality and Individual Differences 22, 5, 757-767 (1997)
28. P.D. Wentzell, D.T. Andrews, D.C. Hamilton, K. Faber and B.R. Kowalski "Maximum likelihood principal component analysis" Journal of Chemometrics 11, 4, 339-366 (1997)
29. W. Wu, D.L. Massart and S. de Jong "The kernel PCA algorithms for wide data. Part I: Theory and algorithms" Chemometrics and Intelligent Laboratory Systems 36, 2, 165-172 (1997)
30. W. Wu, D.L. Massart and S. de Jong "Kernel-PCA algorithms for wide data Part II: Fast cross-validation and application in classification of NIR data" Chemometrics and Intelligent Laboratory Systems 37, 2, 271-280 (1997)
31. Y-L. Xie and J.H. Kalivas "Evaluation of principal component selection methods to form a global prediction model by principal component regression" Analytica Chimica Acta 348, 1-3, 19-27 (1997)
32. Y-L. Xie and J.H. Kalivas "Local prediction models by principal component regression" Analytica Chimica Acta 348, 1-3, 29-38 (1997)

1. D.T. Andrews, C. Liguo, P.D. Wentzell and D.C. Hamilton "Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets" Chemometrics and Intelligent Laboratory Systems 34, 2, 231-244 (1996)
2. G. Becker "The Meta-Analysis of Factor Analyses: An Illustration Based on the Cumulation of Correlation Matrices" Psychological Methods 1, 4, 341-353 (1996)
3. P.J. Curran, S.G. West and J.F. Finch "The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis" Psychological Methods 1, 1, 16-29 (1996)
4. D. Dong and T.J. McAvoy "Nonlinear principal component analysis--based on principal curves and neural networks" Computers & Chemical Engineering 20, 1, 65-78 (1996)
5. J-H. Jiang, J-H. Wang, C. Xia and R-Q. Yu "Neural network learning to non-linear principal component analysis" Analytica Chimica Acta 336, 1-3, 209-222 (1996)
6. E.K. Kemsley "Discriminant analysis of high-dimensional data: a comparison of principal components analysis and partial least squares data reduction methods" Chemometrics and Intelligent Laboratory Systems 33, 1, 47-61 (1996)
7. W.P. Krijnen "Algorithms for unweighted least-squares factor analysis" Computational Statistics & Data Analysis 21, 2, 133-147 (1996)
8. E.R. Malinowski "Automatic window factor analysis - A more efficient method for determining concentration profiles from evolutionary spectra" Journal of Chemometrics 10, 4, 273-279 (1996)
9. S. Minoshima and R.A. Koeppe "[Fast and accurate numerical method for principal components analysis dealing with large image data sets]" Kaku Igaku 33, 4, 431-434 (1996)
10. J. Nouwen, F. Lindgren, B. Hansen, W. Karcher, H.J.M. Verhaar and J.L.M. Hermens "Fast screening of large databases using clustering and PCA based on structure fragments" Journal of Chemometrics 10, 5-6, 385-398 (1996)
11. D.K. Rinker Jr. and G.S. Young "Use of obliquely rotated principal component analysis to identify coherent structures" Boundary-Layer Meteorology 80, 1-2, 19-47 (1996)
12. L. Wang and J. Karhunen "A unified neural bigradient algorithm for robust PCA and MCA" International Journal of Neural Systems 7, 1, 53-67 (1996)
13. A.R. Webb "An approach to non-linear principal components analysis using radially symmetric kernel functions" Statistics and Computing 6, 2, 159-168 (1996)
14. L.L. Wegge "Local identifiability of the factor analysis and measurement error model parameter" Journal of Econometrics 70, 2, 351-382 (1996)
15. J.M. Wood, D.J. Tataryn and R.L. Gorsuch "Effects of Under- and Overextraction on Principal Axis Factor Analysis With Varimax Rotation" Psychological Methods 1, 4, 354-365 (1996)

1. M.T. Beard, K. Edwards, D. Marshall and M.N. Johnson "Research methodology: Part II, Essentials of factor analysis" ABNF (Association of Black Nursing Faculty) Journal 6, 4, 107-112 (1995)
2. R.G. Brereton, Stephen P. Gurden and J.A. Groves "Use of eigenvalues for determining the number of components in window factor analysis of spectroscopic and chromatographic data" Chemometrics and Intelligent Laboratory Systems 27, 1, 73-87 (1995)
3. C-C. Chang and T-C. Wu "An exact match retrieval scheme based upon principal component analysis" Pattern Recognition Letters 16, 5, 465-470 (1995)
4. C.Y. Chen, C.C. Chang, and R.C.T. Lee "A near pattern-matching scheme based upon principal component analysis" Pattern Recognition Letters 16, 4, 339-345 (1995)
5. L. Dumbgen "Likelihood Ratio Tests for Principal Components" Journal of Multivariate Analysis 52, 2, 245-258 (1995)
6. N.M. Faber, M.J. Meinders, P. Geladi, M. Sjöström, L.M.C. Buydens and G. Kateman "Random error bias in principal component analysis. Part I. derivation of theoretical predictions" Analytica Chimica Acta 304, 3, 257-271 (1995)
7. N.M. Faber, M.J. Meinders, P. Geladi, M. Sjöström, L.M.C. Buydens and G. Kateman "Random error bias in principal component analysis. Part II. Application of theoretical predictions to multivariate problems" Analytica Chimica Acta 304, 3, 273-283 (1995)
8. L. Ferré "Selection of components in principal component analysis: A comparison of methods" Computational Statistics & Data Analysis 19, 6, 669-682 (1995)
9. A.G. González and D. González-Arjona "Advantages of target factor analysis against multiple linear regression methods for testing model equations in linear free energy relationships" Analytica Chimica Acta 312, 3, 295-306 (1995)
10. M. Ihara and Y. Kano "Identifiability of full, marginal, and conditional factor analysis models" Statistics & Probability Letters 23, 4, 343-350 (1995)
11. J. Karhunen and J. Joutsensalo "Generalizations of Principal Component Analysis, Optimization Problems, and Neural Networks" Neural Networks 8, 4, 549-562 (1995)
12. S.A. Klein and T. Carney "The usefulness of the Laplacian in principal component analysis and dipole source localization" Brain Topography 8, 2, 91-108 (1995)
13. S-Y. Lee and W-Y. Poon "Estimation of factor scores in a two-level confirmatory factor analysis model" Computational Statistics & Data Analysis 20, 3, 275-284 (1995)
14. F-L. Luo, R. Unbehauen, and Y-D Li "A principal component analysis algorithm with invariant norm" Neurocomputing 8, 2, 213-221 (1995)
15. H. Onishi "A user-knowledge-based variable selection method for limited information maximum likelihood using principal components" Computational Statistics & Data Analysis 19, 4, 379-399 (1995)
16. P. Persoone, R. De Gryse and P. De Volder "A new powerful transformation for maximum likelihood common factor analysis (MLCFA)" Journal of Electron Spectroscopy and Related Phenomena 71, 3, 225-232 (1995)
17. M.D. Plumbley "Lyapunov Functions for Convergence of Principal Component Algorithms" Neural Networks 8, 1, 11-23 (1995)
18. H. Schneeweiss and H. Mathes "Factor Analysis and Principal Components" Journal of Multivariate Analysis 55, 1, 105-124 (1995)

1. B.K. Alsberg and O.M. Kvalheim "Compression of three-mode data arrays by B-splines prior to three-mode principal component analysis" Chemometrics and Intelligent Laboratory Systems 23, 1, 29-38 (1994)
2. A. Boudou and J. Dauxois "Principal Component Analysis for a Stationary Random Function Defined on a Locally Compact Abelian Group" Journal of Multivariate Analysis 51, 1, 1-16 (1994)
3. B. Escofier and J. Pagès "Multiple factor analysis (AFMULT package)" Computational Statistics & Data Analysis 18, 1, 121-140 (1994)
4. N.M. Faber, L.M.C. Buydens and G. Kateman "Aspects of pseudorank estimation methods based on the eigenvalues of principal component analysis of random matrices" Chemometrics and Intelligent Laboratory Systems 25, 2, 203-226 (1994)
5. S.G.C. Fraiha and J.B.C. Silva "Factor analysis of ambiguity in geophysics" Geophysics 59, 7, 1083-1091 (1994)
6. R.A. Harshman and M.E. Lundy "PARAFAC: Parallel factor analysis" Computational Statistics & Data Analysis 18, 1, 39-72 (1994)
7. D. González-Arjona, J.A. Mejías and A.G. González "HOLMES: a program for target factor analysis" Analytica Chimica Acta 295, 1-2, 119-125 (1994)
8. R. Henrion "N-way principal component analysis theory, algorithms and applications" Chemometrics and Intelligent Laboratory Systems 25, 1, 1-23 (1994)
9. M. Jamshidian and R.I. Jennrich "Conjugate gradient methods in confirmatory factor analysis" Computational Statistics & Data Analysis 17, 3, 247-263 (1994)
10. G.Q. Qian, G. Gabor and R.P. Gupta "Principal Components Selection by the Criterion of the Minimum Mean Difference of Complexity" Journal of Multivariate Analysis 49, 1, 55-75 (1994)
11. D.L. Streiner "Figuring out factors: the use and misuse of factor analysis" Canadian Journal of Psychiatry 39, 3, 135-140 (1994)
12. S. Wold "Exponentially weighted moving principal components analysis and projections to latent structures" Chemometrics and Intelligent Laboratory Systems 23, 1, 149-161 (1994)

1. M.E. Abdullah and K.I. Al-Khamis "Microcomputer program for the assessment of one-way, two-way and factorial analysis of variance in pharmaceutical data" Computer Methods and Programs in Biomedicine 41, 2, 131-133 (1993)
2. R. Beals and D.H. Krantz "The Foundations of Ordinal Factor Analysis: Affine and Spherical Geometries Induced by a Collection of Weak Orders" Journal of Mathematical Psychology 37, 2, 157-199 (1993)
3. H. Caussinus and L. Ferré "Comparing the parameters of a model for several units by means of principal component analysis" Computational Statistics & Data Analysis 13, 3, 269-280 (1992)
4. J-F. Durand "Generalized principal component analysis with respect to instrumental variables via univariate spline transformations" Computational Statistics & Data Analysis 16, 4, 423-440 (1993)
5. L.J. Gleser and H. Yang "Empirical Bayes estimation in factor analysis for aerosol mass apportionment" Analytica Chimica Acta 277, 2, 405-419 (1993)
6. P. Goovaerts "Spatial orthogonality of the principal components computed from coregionalized variables" Mathematical Geology 25, 3, 281-302 (1993)
7. D-Y. Huang and S-T. Tseng "A decision procedure for determining the number of components in principal component analysis" Journal of Statistical Planning and Inference 30, 1, 63-71 (1992)
8. S.C. Huang and Y.F. Huang "Principal Component Vector Quantization" Journal of Visual Communication and Image Representation 4, 2, 112-120 (1993)
9. P. Kuik, J.E. Sloof and H.Th. Wolterbeek "Application of Monte Carlo-assisted factor analysis to large sets of environmental pollution data" Atmospheric Environment. Part A. General Topics 27, 13, 1975-1983 (1993)
10. A. Mackiewicz and W. Ratajczak "Principal components analysis (PCA)" Computers & Geosciences 19, 3, 303-342 (1993)
11. P. Paatero and U. Tapper "Analysis of different modes of factor analysis as least squares fit problems" Chemometrics and Intelligent Laboratory Systems 18, 2, 183-194 (1993)
12. L. Sarabia, M.C. Ortiz, R. Leardi and G. Drava "A program for non-orthogonal rotation in factor analysis" TrAC Trends in Analytical Chemistry 12, 6, 226-230 (1993)
13. K.J. Schostack and E.R.Malinowski "Investigation of window factor analysis and matrix regression analysis in chromatography" Chemometrics and Intelligent Laboratory Systems 20, 2, 173-182 (1993)
14. S.J. Vanslyke and P.D. Wentzell "Limitations of evolving principal component innovation analysis for peak purity detection in chromatography" Chemometrics and Intelligent Laboratory Systems 20, 2, 183-195 (1993)

1. P. Besse "PCA stability and choice of dimensionality" Statistics & Probability Letters 13, 5, 405-410 (1992)
2. S.M. Hammond and G.A. Lienert "Point symmetry adjustment of phi-coefficients in the factor analysis of psychometric test items" Personality and Individual Differences 13, 2, 211-219 (1992)
3. M. Ihara and Y. Kano "Asymptotic equivalence of unique variance estimators in marginal and conditional factor analysis models" Statistics & Probability Letters 14, 5, 337-341 (1992)
4. I.T. Joliffe and B.J. Morgan "Principal component analysis and exploratory factor analysis" Statistical Methods in Medical Research 1, 1, 69-95 (1992)
5. H.R. Keller and D.L. Massart "Evolving factor analysis" Chemometrics and Intelligent Laboratory Systems 12, 3, 209-224 (1992)
6. R.R. Meglen "Examining large databases: a chemometric approach using principal component analysis" Marine Chemistry 39, 1-3, 217-237 (1992)
7. W. Unno and M. Yuasa "Astrophysical use of the principal component analysis of imperfect data" Astrophysics and Space Science 189, 2, 271-278 (1992)
8. Y. Zeng and P.K. Hopke "The application of three-mode factor analysis (TMFA) to receptor modeling of SCENES particle data" Atmospheric Environment. Part A. General Topics 26, 9, 1701-1711 (1992)

1. M. Van Daele, J. Joosten, P. Devos, A. Vandecruys, J.L. Willems and M. De Roo "A new vertex-finding algorithm for the oblique rotation step in factor analysis" Physics in Medicine and Biology 36, 1, 77-85 (1991)
2. K.J. Schostack and E.R. Malinowski "Theory of evolutionary factor analysis for resolution of quaternary-plus mixtures" Chemometrics and Intelligent Laboratory Systems 10, 3, 303-324 (1991)
3. J.R. Schott "Testing for the redundancy of variables in principal components analysis" Statistics & Probability Letters 11, 6, 495-501 (1991)

1. M. Van Daele, J. Joosten, P. Devos, A. Vandecruys, J.L. Willems and M. De Roo "Background correction in factor analysis of dynamic scintigraphic studies: necessity and implementation" Physics in Medicine and Biology 35, 11, 1477-1485 (1990)
2. J. Kankare, J. Lukkari, T. Pajunen, J. Ahonen and C. Visy "Evolutionary spectral factor analysis of doping-undoping processes of thin conductive polymer films" Journal of Electroanalytical Chemistry 294, 1-2, 59-72 (1990)
3. K. Keesman "Membership-set estimation using random scanning and principal component analysis" Mathematics and Computers in Simulation 32, 5-6, 535-543 (1990)
4. J. Mas, P. Hannequin, R.B. Younes, B. Bellaton and R. Bidet "Scatter correction in planar imaging and SPECT by constrained factor analysis of dynamic structures (FADS)" Physics in Medicine and Biology 35, 11, 1451-1465 (1990)
5. D.H. Melnyk and E.C. Glenn "Using Q-mode factor analysis in biostratigraphic ordination" Mathematical Geology 22, 5, 599-610 (1990)
6. R.A. Naga and G. Antille "Stability of robust and non-robust principal components analysis" Computational Statistics & Data Analysis 10, 2, 169-174 (1990)
7. H. Nanda and I. Olkin "Matrix properties of an interbattery factor analytic model" Linear Algebra and its Applications 127, 617-630 (1990)
8. K.J. Schostack and E.R. Malinowski "Theory of evolutionary factor analysis for resolution of ternary mixtures" Chemometrics and Intelligent Laboratory Systems 8, 2, 121-141 (1990)
9. T. Wansbeek and J. Verhees "The algebra of multimode factor analysis" Linear Algebra and its Applications 127,631-639 (1990)
10. Y. Zeng and P.K. Hopke "Methodological study applying three-mode factor analysis to three-way chemical data sets" Chemometrics and Intelligent Laboratory Systems 7, 3, 237-250 (1990)

1. Y. Chauvin "Principal component analysis by gradient descent on a constrained linear Hebbian cell" IEEE Proceedings on Neural Networks, IJCNN 1989 - International Joint Conference 1, 373-380 (1989)
2. P. Hannequin, J.C. Liehn and J. Valeyre "The determination of the number of statistically significant factors in factor analysis of dynamic structures" Physics in Medicine and Biology 34, 9, 1213-1227 (1989)
3. P.K. Hopke "Target transformation factor analysis" Chemometrics and Intelligent Laboratory Systems 6, 1, 7-19 (1989)
4. G. Picci "Parametrization of factor analysis models" Journal of Econometrics 41, 1, 17-38 (1989)
5. P.J. Rousseeuw, M-P. Derde and L. Kaufman "Principal components of a fuzzy clustering" TrAC Trends in Analytical Chemistry 8, 7, 249-250 (1989)
6. M. Samal, M. Karny, H. Surova, P. Penicka, E. Marikova and Z. Dienstbier "On the existence of an unambiguous solution in factor analysis of dynamic studies" Physics in Medicine and Biology 34, 2, 223-228 (1989)
7. K.J. Schostack and E.R. Malinowski "Preferred set selection by iterative key set factor analysis" Chemometrics and Intelligent Laboratory Systems 6, 1, 21-29 (1989)
8. A. Shapiro "Erratum: Identifiability of factor analysis: Some results and open problems" Linear Algebra and its Applications 125, 149 (1989)
9. S.C. Snook and R.L. Gorsuch "Component Analysis Versus Common Factor Analysis: A Monte Carlo Study" Psychological Bulletin 106, 1, 148-154 (1989)
10. D. Zhou "ROPCA: a FORTRAN program for robust principal components analysis" Computers and Geosciences 15, 1, 59-78 (1989)

1. J.E. Ahlquist "Principal component analysis of vector-valued functions of four dimensions" Mathematical and Computer Modelling 10, 3, 175-182 (1988)
2. M. D'Amboise and B. Lagarde "Factor analysis using column cross-validation" Computers & Chemistry 13, 1, 39-44 (1988)
3. L. Duchene and S. Leclerq "An Optimal Transformation for Discriminant and Principal Component Analysis" IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 6, 978-983 (1988)
4. E.B. Godshalk and D.H. Timothy "Factor and principal component analyses as alternatives to index selection" TAG Theoretical and Applied Genetics 76, 3, 352-360 (1988)
5. O.M. Kvalheim "On-line classification and updating of disjoint principal component models" Chemometrics and Intelligent Laboratory Systems 3, 3, 243-247 (1988)
6. M. Maeder and A. Zilian "Evolving factor analysis, a new multivariate technique in chromatography" Chemometrics and Intelligent Laboratory Systems 3, 3, 205-213 (1988)
7. B.G.M. Vandeginste, C. Sielhorst and M. Gerritsen "The NIPALS algorithm for the calculation of the principal components of a matrix" TrAC Trends in Analytical Chemistry 7, 8, 286-287 (1988)

1. E. Ezcurra "A comparison of reciprocal averaging and non-centred principal components analysis" Plant Ecology 71, 1, 41-47 (1987)
2. M. Forina, S. Lanteri and R. Leardi "A program for varimax rotation in factor analysis" TrAC Trends in Analytical Chemistry 6, 10, 250-251 (1987)
3. R.F. Hirsch, G.L. Wu and P.C. Tway "Reliability of factor analysis in the presence of random noise or outlying data" Chemometrics and Intelligent Laboratory Systems 1, 3, 265-272 (1987)
4. R. Hubbard and S.J. Allen "An empirical comparison of alternative methods for principal component extraction" Journal of Business Research 15, 2, 173-190 (1987)
5. J.F. Lucke and K. Schuessler "Scaling social life feelings by factor analysis of binary variables" Social Indicators Research 19, 4, 403-428 (1987)
6. M. Samal, M. Karny, H. Surova, E. Marikova and Z. Dienstbier "Rotation to simple structure in factor analysis of dynamic radionuclide studies" Physics in Medicine and Biology 32, 3, 371-382 (1987)
7. S. Wold, K. Esbensen and P. Geladi "Principal component analysis" Chemometrics and Intelligent Laboratory Systems 2, 1-3, 37-52 (1987)

1. W.E. Full and R. Ehrlich "Fundamental problems associated with "eigenshape analysis" and similar "factor" analysis procedures" Mathematical Geology 18, 5, 451-463 (1986)
2. G. Gangemi "Epistemological reasons for preferring component analysis to factor analysis" Quality and Quantity 20, 1, 75-84 (1986)
3. P.K. Hopke and S. Dharmavaram "Recent improvements to fantasia, a target transformation factor analysis program" Computers & Chemistry 10, 2, 163-164 (1986)
4. D.G. Howery, G.D. Williams and N. Ayala "Predicting retention data by target factor analysis and multiple regression analysis" Analytica Chimica Acta 189, 339-351 (1986)
5. K.S. Nijran and D.C. Barber "Factor analysis of dynamic function studies using a priori physiological information (nuclear medicine)" Physics in Medicine and Biology 31, 10, 1107-1117 (1986)
6. H. Ogasawara "[Transformation of the factor loadings in inter-battery factor analysis]" Shinrigaku Kenkyu 57, 2, 75-82 (1986)

1. M.W. Browne "The information matrix for image factor analysis" Linear Algebra and its Applications 70, 51-59 (1985)
2. M.E. Hohn "SAS program for quantitative stratigraphic correlation by principal components" Computers and Geosciences 11, 4, 471-477 (1985)
3. K.S. Nijran and D.C. Barber "Towards automatic analysis of dynamic radionuclide studies using principal-components factor analysis" Physics in Medicine and Biology 30, 12, 1315-1325 (1985)
4. A. Shapiro "Identifiability of factor analysis: Some results and open problems" Linear Algebra and its Applications 70, 1-7 (1985)

1. A.S. Houston "The effect of apex-finding errors on factor images obtained from factor analysis and oblique transformation (nuclear medicine)" Physics in Medicine and Biology 29, 9, 1109-1116 (1984)
2. P.J. Korhonen "Subjective principal component analysis" Computational Statistics & Data Analysis 2, 3, 243-255 (1984)
3. W.S. Pritchard "PCAVR: a portable laboratory program for performing varimax-rotated principal components analysis of event-related potentials" Brain Research Bulletin 13, 3, 465-473 (1984)
4. P. Uguagliati, A. Benedetti, S. Enzo and L. Schiffini "Organometallic chemometrics. I. A minicomputer implementation of abstract factor analysis" Computers & Chemistry 8, 3, 161-168 (1984)
5. J. Vitrai, P. Czobor, G. Simon, L. Varga and S. Marosfi "Beyond principal component analysis: canonical component analysis for data reduction in classification of EPs" International Journal of Bio-medical Computing 15, 2, 93-111 (1984)

1. 2.0.CO;2-B&s=-9999> G. Chamberlain and M. Rothschild "Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets" Econometrica 51, 5, 1281-1304 (1983)
2. U. Haldna and A. Murshak "Test of Simonds' method in factor analysis by digital simulation models" Computers & Chemistry 8, 1, 39-42 (1983)
3. P.K. Hopke, D.J. Alpert and B.A. Roscoe "Fantasia––A program for target transformation factor analysis to apportion sources in environmental samples" Computers & Chemistry 7, 3, 149-155 (1983)
4. J. Rohmel, B. Streitberg and W.M. Herrmann "The COMSTAT algorithm for multimodal factor analysis: an improvement of Tucker's three-mode factor analysis method" Neuropsychobiology 10, 2-3, 157-163 (1983)
5. B.A. Tanner and J.M. Leiman "Using P-Stat, BMDP and SPSS for a cross-products factor analysis" Computer Programs in Biomedicine 16, 3, 231-233 (1983)
6. E. White and H. Tsurumi "Use of the principal component method in the maximum likelihood estimation procedure of the logit model" Economics Letters 12, 1, 43-48 (1983)

1. E.R. Malinowski "Obtaining the key set of typical vectors by factor analysis and subsequent isolation of component spectra" Analytica Chimica Acta 134, 129-137 (1982)
2. B.A. Roscoe and P.K. Hopke "Error estimates for factor loadings and scores obtained by target transformation factor analysis. A Clarification" Analytica Chimica Acta 135, 2, 379-380 (1982)
3. W.J. Streich, S. Dove and R. Franke "On the rational selection of test series. 1. Principal component method combined with multidimensional mapping" Journal of Medicinal Chemistry 23, 12, 1452-1456 (1980)

1. J-H. Chen and L-P. Hwang "Reconstruction of mass spectra of components of unknown mixtures based on factor analysis" Analytica Chimica Acta 133, 3, 271-281 (1981)
2. H.R. Halvorson "Determining the number of interacting species: Significant factor analysis" Biophysical Chemistry 14, 2, 177-184 (1981)
3. J.J. Gerbrands "On the relationships between SVD, KLT and PCA" Pattern Recognition 14, 1-6, 375-381 (1981)
4. R.E. Jensen and D.L. Domsch "Factor distance matrix: An intermediate step in grouping cases by factor analytic techniques" Computers, Environment and Urban Systems 6, 4, 229-243 (1981)
5. C. Jochum and B.R. Kowalski "A combined linear and nonlinear factor analysis program package for chemical data evaluation" Analytica Chimica Acta 133, 4, 583-590 (1981)
6. E.R. Malinowski "Theory of error applied to pure test vectors in target factor analysis" Analytica Chimica Acta 133, 1, 99-101 (1981)
7. B.A. Roscoe and P.K. Hopke "Error estimates for factor loadings and scores obtained with target transformation factor analysis" Analytica Chimica Acta 132, 89-97 (1981)
8. B.A. Roscoe and P.K. Hopke "Comparison of weighted and unweighted target transformation rotations in factor analysis" Computers & Chemistry 5, 1, 1-7 (1981)

1. E.R. Malinowski "Theory of error applied to factor loadings resulting from combination target factor analysis" Analytica Chimica Acta 122, 3, 327-330 (1980)
2. B.A. Tanner and S.M. Koning "Using BMDP and SPSS for a Q factor analysis" Computer Programs in Biomedicine 12, 2-3, 201-202 (1980)

1. J.N. Prashker "Scaling perceptions of reliability of urban travel modes using indscal and factor analysis methods" Transportation Research Part A: General 13, 3, 203-212 (1979)
2. P. Van Rompuy "A two-step procedure for intertemporal factor analysis" Regional Science and Urban Economics 9, 2-3, 261-274 (1979)

1. W.R. Cunningham "Principles for identifying structural differences. Some methodological issues related to comparative factor analysis" Journal of Gerontology 33, 1, 82-86 (1978)
2. E.R. Malinowski "Theory of error for target factor analysis with applications to mass spectrometry and nuclear magnetic resonance spectrometry" Analytica Chimica Acta 103, 4, 339-354 (1978)

1. C. Clark "Correlation, principal components, and the problem of multistate data" Geoforum 8, 2, 69-72 (1977)
2. P.E. Condon "Reconstruction of missing data in principal component analysis" Nuclear Instruments and Methods 146, 3, 611-612 (1977)

1. A.T. Miesch "Q-mode factor analysis of compositional data" Computers & Geosciences 1, 3, 147-159 (1976)

1. W.T. Martin and J.M. Sharp "Reverse factor analysis: A modification of relevance tree techniques" Technological Forecasting and Social Change 4, 4, 355-373 (1973)

1. P.M. Bentler "A data transformation model for factor analysis" Mathematical Biosciences 2, 1-2, 145-149 (1968)