The following pages link to Canoco (Q25026):
Displaying 19 items.
- Refined approximations to permutation tests for multivariate inference (Q673156) (← links)
- How many principal components? Stopping rules for determining the number of non-trivial axes revisited (Q957273) (← links)
- An improved method for generalized constrained canonical correlation analysis (Q959149) (← links)
- Regularized nonsymmetric correspondence analysis (Q961761) (← links)
- Regularized partial and/or constrained redundancy analysis (Q998840) (← links)
- Regularized multiple-set canonical correlation analysis (Q998844) (← links)
- Regularized linear and kernel redundancy analysis (Q1020827) (← links)
- Independent contrasts and regression through the origin (Q1624542) (← links)
- Identifying the informational/signal dimension in principal component analysis (Q1634747) (← links)
- On a test of dimensionality in redundancy analysis (Q2260053) (← links)
- Correspondence analysis of textual data involving contextual information: CA-GALT on principal components (Q2418393) (← links)
- Regularized reduced rank growth curve models (Q2445812) (← links)
- An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model (Q4243925) (← links)
- Comparison of permutation methods for the partial correlation and partial mantel tests (Q4519165) (← links)
- Numerical Ecology with R (Q4595021) (← links)
- Predictor versus response permutation for significance testing in weighted regression and redundancy analysis (Q5086087) (← links)
- An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships (Q5127011) (← links)
- Multivariate Analysis of Ecological Data using CANOCO 5 (Q5166897) (← links)
- Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis (Q5861251) (← links)
