C. Alexander and A. Dimitriu, Sources of over-performance in equity markets: mean reversion, common trends and herding, 2005.

C. Alexander and A. Dimitriu, Equity indexing: Optimize your passive investments, Quantitative Finance, vol.40, issue.3, 2008.
DOI : 10.2307/2290142

C. Anagnostopoulos, D. Tasoulis, D. J. Hand, and N. M. Adams, Online optimisation for variable selection on data streams, Proc. of the 18th European Conf. on Artificial Intelligence, 2008.

J. Beasley, N. Meade, and T. J. Chang, An evolutionary heuristic for the index tracking problem, European Journal of Operational Research, vol.148, issue.3, p.621643, 2003.
DOI : 10.1016/S0377-2217(02)00425-3

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.32, pp.407-499, 2004.

S. Erlich and K. Yao, Convergences of adaptive block simultaneous iteration method for eigenstructure decomposition, Signal Processing, vol.37, issue.1, 1994.
DOI : 10.1016/0165-1684(94)90164-3

J. Friedman, E. Hastie, H. Höfling, and R. Tibshirani, Pathwise coordinate optimization, The Annals of Applied Statistics, vol.1, issue.2, pp.302-332, 2007.
DOI : 10.1214/07-AOAS131

L. Gidskehaug, H. Stdkilde-jrgensen, M. Martens, and H. Martens, Bridge???PLS regression: two-block bilinear regression without deflation, Journal of Chemometrics, vol.18, issue.34, 2004.
DOI : 10.1002/cem.862

A. Hoskuldsson, PLS regression methods, Journal of Chemometrics, vol.8, issue.3, 1988.
DOI : 10.1002/cem.1180020306

S. Kim, Y. N. Rao, D. Edogmus, and J. C. Principe, Tracking of multivariate time-variant systems based on on-line variable selection, IEEE Workshop on Machine Learning for Signal Processing, 2004.

G. Montana, K. Triantafyllopoulos, and T. Tsagaris, Data stream mining for market-neutral algorithmic trading, Proceedings of the 2008 ACM symposium on Applied computing , SAC '08, pp.966-970, 2008.
DOI : 10.1145/1363686.1363910

M. Nied´zwieckinied´zwiecki, Identification of time-varying processes, 2000.

R. Rosipal and N. Krämer, Overview and Recent Advances in Partial Least Squares, pp.34-51, 2006.
DOI : 10.1002/(SICI)1097-0193(1997)5:4<254::AID-HBM9>3.0.CO;2-2

H. Shen and J. Huang, Sparse principal component analysis via regularized low rank matrix approximation, Journal of Multivariate Analysis, vol.99, issue.6, 2008.
DOI : 10.1016/j.jmva.2007.06.007

URL : http://doi.org/10.1016/j.jmva.2007.06.007

S. Vijayakumar, A. D. Souza, and S. Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol.11, issue.4, pp.2602-2634, 2005.
DOI : 10.1162/089976602753284491