lssvd: lsfit using SVD
In gmonette/spida2: Collection of tools developed for the Summer Programme in Data Analysis 2000-2012
lssvd R Documentation
lsfit using SVD
Description
not well optimized yet
Usage
lssvd(x, y, zero = 1e-07, ...)
lssvd_old(x, y, zero = 10^(-16), has_intercept = all(cbind(x)[, 1] == 1))
Arguments
x
a matrix of predictors. Should include an intercept term if needed
y
a vector or matrix of responses
zero
a value used to identify latent roots eseentially 0
has_intercept
not yet used
Value
A list with three elements: Beta, the matrix of coefficients; residuals and sse
Functions
-
lssvd_old(): previous version not using MASS::ginv
gmonette/spida2 documentation built on Aug. 20, 2023, 7:21 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| lssvd | R Documentation |
lsfit using SVD
Description
not well optimized yet
Usage
lssvd(x, y, zero = 1e-07, ...)
lssvd_old(x, y, zero = 10^(-16), has_intercept = all(cbind(x)[, 1] == 1))
Arguments
x |
a matrix of predictors. Should include an intercept term if needed |
y |
a vector or matrix of responses |
zero |
a value used to identify latent roots eseentially 0 |
has_intercept |
not yet used |
Value
A list with three elements: Beta, the matrix of coefficients; residuals and sse
Functions
-
lssvd_old(): previous version not using MASS::ginv
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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