Description Usage Arguments Details Value Author(s) See Also Examples
Given a vector of data and a design matrix, the least squares estimates for a linear model is computed.
1 | leastsquares(data, design)
|
data |
A data vector. |
design |
A design matrix. The number of rows must be equal to the length of the data vector. |
The fitted values represent the expected values all but the last variables in the posterior for the linear model.
A vector of values of length equal to the number of columns in the design matrix.
Petter Mostad <mostad@chalmers.se>
linearmodel
, fittedvalues
,
linearpredict
1 2 3 4 5 | xdata <- simulate(uniformdistribution(), 14)
ydata <- xdata + 4 + simulate(normal(), 14)*0.1
plot(xdata,ydata)
design <- cbind(1, xdata)
leastsquares(ydata, design)
|
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